0
Cybersecurity & Data Management
National Capital Region, National Capital Region
Zynergia Health and Wellness Corp.
Posted 8 days ago
Job Viewed
Job Description
- Graduates of Computer science, IT or any computer related course
- ith proven experience of C#, ASP.NET, MVC, JavaScript and jQuery br>- Passionate about tech, confident with data, databases, and coding languages.
- Grasp of security principles to keep data safe.
- Have product exposure to popular ecommerce and logistics platforms.
- Motivated to learn and analyze many more platforms.
- Excellent written and verbal communication skills
- Strong problem solving and analytical skills
- Can reliably produce results
- ith proven experience of C#, ASP.NET, MVC, JavaScript and jQuery br>- Passionate about tech, confident with data, databases, and coding languages.
- Grasp of security principles to keep data safe.
- Have product exposure to popular ecommerce and logistics platforms.
- Motivated to learn and analyze many more platforms.
- Excellent written and verbal communication skills
- Strong problem solving and analytical skills
- Can reliably produce results
This advertiser has chosen not to accept applicants from your region.
1
Analyst II Data Management
Mandaluyong, National Capital Region
Emerson
Posted 13 days ago
Job Viewed
Job Description
Emerson's 130+ years of history have been filled with achievements and challenges that have driven innovative thinking and bold transformations, molding us into the company we are today. By joining us as an **Analyst II, Data Management,** you will be responsible for the management of customer service data, creating reports for multiple departments, and communicating analysis to business leadership, which has a significant impact on both customer and employee experience.
If this sounds like a perfect fit for you, apply now and join our team in Mandaluyong City, Philippines!
**In This Role, Your Responsibilities Will Be:**
+ Create reports for multiple departments, including supply chain, shipping and logistics, marketing, finance, and e-business.
+ Design and maintain new and existing reports and provide analysis of business activity from data compiled and managed.
+ Communicate reports, project status, and other activities and performance results to business leadership, various departments, and customers.
+ Responsible for system administration and maintenance, such as account information updates and customer contact data.
+ Work closely with the customer service team, coordinate activities and scheduling, and assist with successful project management, implementation, and ongoing support.
+ Plan, create, develop, test, update, and document programs, systems, and procedures.
+ Review existing processes and reports on an ongoing basis for continuous improvement.
+ Advocate continuous learning.
**Who You Are:**
You build and deliver solutions that meet customer expectations. You identify and create the necessary processes to get work done. You research initiatives and try new approaches. You can efficiently communicate in various settings: one-on-one, small and large groups, or among diverse styles and position levels.
**For This Role, You Will Need:**
+ 1-3 years of experience with data analysis, sales and marketing administration, and customer service.
+ Knowledgeable in quantitative analysis, forecasting, and planning.
+ Experience in Database Management with proven understanding of database concepts, theories, and applications.
+ Proficient in Microsoft Office applications (Outlook, Excel, Word, Access, PowerPoint, etc.).
+ Strong understanding of the English language and effective English communication skills, both in written and verbal form; ability to clearly explain data interpretations and analysis.
**Preferred Qualifications that Set You Apart:**
+ Prior experience with Oracle, Salesforce, and DOMO applications is a plus.
**Our Culture & Commitment to You**
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation, and holiday leave.
#LI-Hybrid
**Requisition ID** : 25022805
Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.
If this sounds like a perfect fit for you, apply now and join our team in Mandaluyong City, Philippines!
**In This Role, Your Responsibilities Will Be:**
+ Create reports for multiple departments, including supply chain, shipping and logistics, marketing, finance, and e-business.
+ Design and maintain new and existing reports and provide analysis of business activity from data compiled and managed.
+ Communicate reports, project status, and other activities and performance results to business leadership, various departments, and customers.
+ Responsible for system administration and maintenance, such as account information updates and customer contact data.
+ Work closely with the customer service team, coordinate activities and scheduling, and assist with successful project management, implementation, and ongoing support.
+ Plan, create, develop, test, update, and document programs, systems, and procedures.
+ Review existing processes and reports on an ongoing basis for continuous improvement.
+ Advocate continuous learning.
**Who You Are:**
You build and deliver solutions that meet customer expectations. You identify and create the necessary processes to get work done. You research initiatives and try new approaches. You can efficiently communicate in various settings: one-on-one, small and large groups, or among diverse styles and position levels.
**For This Role, You Will Need:**
+ 1-3 years of experience with data analysis, sales and marketing administration, and customer service.
+ Knowledgeable in quantitative analysis, forecasting, and planning.
+ Experience in Database Management with proven understanding of database concepts, theories, and applications.
+ Proficient in Microsoft Office applications (Outlook, Excel, Word, Access, PowerPoint, etc.).
+ Strong understanding of the English language and effective English communication skills, both in written and verbal form; ability to clearly explain data interpretations and analysis.
**Preferred Qualifications that Set You Apart:**
+ Prior experience with Oracle, Salesforce, and DOMO applications is a plus.
**Our Culture & Commitment to You**
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation, and holiday leave.
#LI-Hybrid
**Requisition ID** : 25022805
Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.
This advertiser has chosen not to accept applicants from your region.
2
Data Engineer
Taguig, National Capital Region
GSS PH
Posted 1 day ago
Job Viewed
Job Description
"Must have requirements:
- At least 1-3 years experience with Data Engineering/Processing br>- Experienced with Javascript programming, Python, and SQL
- Hands on experience with Big Data or Cloud Data tools (Databricks, Hadoop, Azure Data Factory, AWS, PySpark)
- Exposure with Big Data or Cloud Data projects
Good to have:
- Exposure with AI or Machine Learning
- Experience with data engineering trainings or bootcamps"
- At least 1-3 years experience with Data Engineering/Processing br>- Experienced with Javascript programming, Python, and SQL
- Hands on experience with Big Data or Cloud Data tools (Databricks, Hadoop, Azure Data Factory, AWS, PySpark)
- Exposure with Big Data or Cloud Data projects
Good to have:
- Exposure with AI or Machine Learning
- Experience with data engineering trainings or bootcamps"
This advertiser has chosen not to accept applicants from your region.
3
Data Engineer
San Juan, National Capital Region
Dempsey Resource Management Inc.
Posted 3 days ago
Job Viewed
Job Description
Job Summary:
We are looking for a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support business intelligence, analytics, and data science initiatives. You will work closely with data analysts, data scientists, and other stakeholders to ensure the efficient flow and quality of data across systems. br>
Key Responsibilities:
Design, develop, and manage ETL/ELT pipelines to ingest data from various internal and external sources.
Build and maintain data architectures (databases, data warehouses, data lakes, etc.).
Ensure data quality, integrity, and security throughout the data lifecycle.
Optimize data workflows for performance and scalability.
Collaborate with data analysts and scientists to provide clean, reliable, and structured data for reporting and modeling.
Implement monitoring and logging tools to track pipeline health and performance.
Participate in data modeling, schema design, and documentation of data systems.
Support real-time and batch data processing needs.
Evaluate and recommend new tools and technologies for data management and processing.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. < r>Proven experience as a Data Engineer or in a similar role.
Proficiency in SQL, Python, or Scala.
Experience with data pipeline tools (e.g., Apache Airflow, Talend, Luigi).
Familiarity with data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery).
Experience with cloud platforms (AWS, Azure, or GCP) and cloud data tools.
Knowledge of data modeling, schema design, and data governance practices.
Strong analytical, problem-solving, and communication skills.
Preferred Skills:
Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka).
Experience with DevOps or CI/CD tools related to data engineering.
Familiarity with BI tools (e.g., Tableau, Power BI, Looker) is a plus.
Work Schedule:
5 days a week - Onsite
Office Hours: 8:00AM-6:00/7:00AM-5:00PM
2 Days Off (Weekends)
We are looking for a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support business intelligence, analytics, and data science initiatives. You will work closely with data analysts, data scientists, and other stakeholders to ensure the efficient flow and quality of data across systems. br>
Key Responsibilities:
Design, develop, and manage ETL/ELT pipelines to ingest data from various internal and external sources.
Build and maintain data architectures (databases, data warehouses, data lakes, etc.).
Ensure data quality, integrity, and security throughout the data lifecycle.
Optimize data workflows for performance and scalability.
Collaborate with data analysts and scientists to provide clean, reliable, and structured data for reporting and modeling.
Implement monitoring and logging tools to track pipeline health and performance.
Participate in data modeling, schema design, and documentation of data systems.
Support real-time and batch data processing needs.
Evaluate and recommend new tools and technologies for data management and processing.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. < r>Proven experience as a Data Engineer or in a similar role.
Proficiency in SQL, Python, or Scala.
Experience with data pipeline tools (e.g., Apache Airflow, Talend, Luigi).
Familiarity with data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery).
Experience with cloud platforms (AWS, Azure, or GCP) and cloud data tools.
Knowledge of data modeling, schema design, and data governance practices.
Strong analytical, problem-solving, and communication skills.
Preferred Skills:
Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka).
Experience with DevOps or CI/CD tools related to data engineering.
Familiarity with BI tools (e.g., Tableau, Power BI, Looker) is a plus.
Work Schedule:
5 days a week - Onsite
Office Hours: 8:00AM-6:00/7:00AM-5:00PM
2 Days Off (Weekends)
This advertiser has chosen not to accept applicants from your region.
4
Data Engineer
San Juan, National Capital Region
DEMPSEY RESOURCE MANAGEMENT INC.
Posted 4 days ago
Job Viewed
Job Description
The Data Engineer is responsible for designing robust, scalable, and secure data models to support application development across multiple systems.
Collaborate with developers to optimize backend data structures for new an existing applications. br>Serve as the go-to resource for data-related issues across software systems, including ERPs, CRMs, and internal platforms.
Support performance tuning, indexing, and query optimization to ensure efficient database operations.
Prepare and transform data from various sources for consumption by BI/reporting tools.
Work closely with the reporting team and business units to ensure accurate, timely, and accessible datasets. Support data integration pipelines for dashboards, analytics, and executive reports.
Act as a trusted representative of the IT team in meetings with the management, department heads, and business leaders.
Gather reporting and application-related requirements and translate them into scalable data solutions. Communicate complex technical topics clearly to non-technical stakeholders.
Job Qualifications
Education: Bachelors Degree in Computer Science, Engineering, Information Technology, or Accounting.
Strong background in SQL, ETL, and relational database design.
Proficiency in BI tools (Power BI, Tableau, etc.).
Familiarity with data modeling, CI/CD, and data governance best practices.
Excellent problem-solving and analytical skills.
Strong communication and teamwork capabilities.
Ability to manage workload independently and prioritize tasks efficiently.
5 days a week
Onsite
Office Hours: 8:00AM-6:00/7:00AM-5:00PM
2 Days Off (Weekends)
PHP 40-50,000.00
Collaborate with developers to optimize backend data structures for new an existing applications. br>Serve as the go-to resource for data-related issues across software systems, including ERPs, CRMs, and internal platforms.
Support performance tuning, indexing, and query optimization to ensure efficient database operations.
Prepare and transform data from various sources for consumption by BI/reporting tools.
Work closely with the reporting team and business units to ensure accurate, timely, and accessible datasets. Support data integration pipelines for dashboards, analytics, and executive reports.
Act as a trusted representative of the IT team in meetings with the management, department heads, and business leaders.
Gather reporting and application-related requirements and translate them into scalable data solutions. Communicate complex technical topics clearly to non-technical stakeholders.
Job Qualifications
Education: Bachelors Degree in Computer Science, Engineering, Information Technology, or Accounting.
Strong background in SQL, ETL, and relational database design.
Proficiency in BI tools (Power BI, Tableau, etc.).
Familiarity with data modeling, CI/CD, and data governance best practices.
Excellent problem-solving and analytical skills.
Strong communication and teamwork capabilities.
Ability to manage workload independently and prioritize tasks efficiently.
5 days a week
Onsite
Office Hours: 8:00AM-6:00/7:00AM-5:00PM
2 Days Off (Weekends)
PHP 40-50,000.00
This advertiser has chosen not to accept applicants from your region.
5
Data Engineer
Pasay, National Capital Region
Dempsey Resource Management Inc.
Posted 8 days ago
Job Viewed
Job Description
DIRECT HIRING
br>What you'll be doing:
Develop, optimize, and maintain data pipelines and data architectures.
Perform root cause analysis on internal and external data issues, providing solutions to address business questions and identify improvement opportunities.
Build processes supporting data transformation, metadata management, dependency management, and workload orchestration.
Collaborate with product teams, data analysts, and other stakeholders to ensure data quality and alignment with business requirements.
Work with relational and NoSQL databases to develop solutions that manage large, complex datasets.
Optimize ETL processes and work with data governance teams to ensure regulatory compliance.
Monitor and improve data pipeline performance, scalability, and reliability.
Troubleshoot and resolve data-related issues, ensuring timely and accurate data availability.
Create and maintain documentation for data pipelines, architectures, and systems.
Ensure data governance practices are followed, including data validation, data lineage, and quality checks.
What we're looking for:
Must have a Bachelor’s degree in Computer Science, Statistics, Information Systems or related quantitative field. < r>3+ years of experience in a Data Engineer or Data Operations role.
Proficiency in SQL and experience with relational databases (e.g. Postgres, MySQL) and NoSQL databases
Hands-on experience building and optimizing data pipelines, data workflows and data architectures.
Experience working with cloud-based data platforms, particularly AWS services such as Redshift, EC2, RDS, and S3.
Familiarity with data integration tools such as AWS Glue, Informatica, and Talend.
Experience with scripting languages like Python, Java, etc. for data engineering tasks.
Strong understanding of data governance, data quality, and data security principles.
Excellent problem-solving, analytical skills, and the ability to interpret complex data sets.
Excellent communication skills to collaborate with cross-functional teams and non-technical stakeholders.
Strong project management and organizational skills, with the ability to manage multiple tasks effectively.
Self-motivated, proactive, and comfortable working independently and in teams.
Strong focus on data-driven decision-making and continuous improvement of data processes
Willing to work onsite (4x a week onsite, once a week remote) from our client's office in Pasay on a day shift under an initial 6-month contract, with the possibility of an extension.
Willing to start work immediately.
br>What you'll be doing:
Develop, optimize, and maintain data pipelines and data architectures.
Perform root cause analysis on internal and external data issues, providing solutions to address business questions and identify improvement opportunities.
Build processes supporting data transformation, metadata management, dependency management, and workload orchestration.
Collaborate with product teams, data analysts, and other stakeholders to ensure data quality and alignment with business requirements.
Work with relational and NoSQL databases to develop solutions that manage large, complex datasets.
Optimize ETL processes and work with data governance teams to ensure regulatory compliance.
Monitor and improve data pipeline performance, scalability, and reliability.
Troubleshoot and resolve data-related issues, ensuring timely and accurate data availability.
Create and maintain documentation for data pipelines, architectures, and systems.
Ensure data governance practices are followed, including data validation, data lineage, and quality checks.
What we're looking for:
Must have a Bachelor’s degree in Computer Science, Statistics, Information Systems or related quantitative field. < r>3+ years of experience in a Data Engineer or Data Operations role.
Proficiency in SQL and experience with relational databases (e.g. Postgres, MySQL) and NoSQL databases
Hands-on experience building and optimizing data pipelines, data workflows and data architectures.
Experience working with cloud-based data platforms, particularly AWS services such as Redshift, EC2, RDS, and S3.
Familiarity with data integration tools such as AWS Glue, Informatica, and Talend.
Experience with scripting languages like Python, Java, etc. for data engineering tasks.
Strong understanding of data governance, data quality, and data security principles.
Excellent problem-solving, analytical skills, and the ability to interpret complex data sets.
Excellent communication skills to collaborate with cross-functional teams and non-technical stakeholders.
Strong project management and organizational skills, with the ability to manage multiple tasks effectively.
Self-motivated, proactive, and comfortable working independently and in teams.
Strong focus on data-driven decision-making and continuous improvement of data processes
Willing to work onsite (4x a week onsite, once a week remote) from our client's office in Pasay on a day shift under an initial 6-month contract, with the possibility of an extension.
Willing to start work immediately.
This advertiser has chosen not to accept applicants from your region.
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6
Data Engineer
Makati, National Capital Region
Nestle
Posted 6 days ago
Job Viewed
Job Description
**Position Snapshot**
Location: Meycauayan, Bulacan, PH / Rockwell, Makati, PH
Company: Nestlé Business Services AOA, Inc.
Full-time
**Position Summary**
Joining Nestlé means you are joining the largest food and beverage company in the world. At our very core, we are a human environment - passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future.
Our Team in Nestlé Business Services is in charge of delivering world class business support to our colleagues and clients in Nestlé globally. We are committed to deliver with passion, reliability, innovation, discipline, and excellence. Are you ready to join us?
**A Day in the Life of a Data Engineer:**
As a Data Engineer at Nestlé, you will play a vital role in designing and executing data workflows for our Data Visualization Team. Your responsibilities will encompass various aspects of data management, including ETL (Extract, Transform, Load), data ingestion, wrangling, transformation, cleansing, and loading data into our data warehouse.
**Key Responsibilities:**
+ **ETL Process Execution:** Perform the Extract, Transform, Load (ETL/ELT) processes for data sources and datasets in a timely and accurate manner:
+ Ingest data from specific data sources into the data warehouse.
+ Transform datasets into usable formats for data visualization and analysis.
+ Clean and wrangle data to ensure quality and usability.
+ Assist the team in extracting and loading datasets from the data warehouse.
+ **Back-End Data Support:** Provide support for back-end data and database concerns, ensuring the seamless operation of our data warehouse infrastructure.
+ **Data Warehouse Maintenance:** Maintain the data warehouse and its infrastructure, ensuring optimal performance and reliability.
+ **Compliance Assurance:** Ensure all processes comply with Nestlé's Compliance Standards and Framework.
+ **Additional Responsibilities:** Perform other tasks as assigned in relation to your developmental plan or as required by management.
**What Will Make You Successful:**
+ Minimum of 1 year of experience in Data Analytics or a related field; fresh graduates are encouraged to apply.
+ Degree in Physics, Mathematics, Computer Science, or other related fields.
+ Proficiency in SQL and Python is required.
+ Experience with data ingestion, storage, and transformation, preferably using Azure and Snowflake.
+ Familiarity with Power BI is a plus.
If you're passionate about data and ready to contribute to Nestlé's mission of enhancing the quality of life and shaping a healthier future, this role could be a great fit for you!
Location: Meycauayan, Bulacan, PH / Rockwell, Makati, PH
Company: Nestlé Business Services AOA, Inc.
Full-time
**Position Summary**
Joining Nestlé means you are joining the largest food and beverage company in the world. At our very core, we are a human environment - passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future.
Our Team in Nestlé Business Services is in charge of delivering world class business support to our colleagues and clients in Nestlé globally. We are committed to deliver with passion, reliability, innovation, discipline, and excellence. Are you ready to join us?
**A Day in the Life of a Data Engineer:**
As a Data Engineer at Nestlé, you will play a vital role in designing and executing data workflows for our Data Visualization Team. Your responsibilities will encompass various aspects of data management, including ETL (Extract, Transform, Load), data ingestion, wrangling, transformation, cleansing, and loading data into our data warehouse.
**Key Responsibilities:**
+ **ETL Process Execution:** Perform the Extract, Transform, Load (ETL/ELT) processes for data sources and datasets in a timely and accurate manner:
+ Ingest data from specific data sources into the data warehouse.
+ Transform datasets into usable formats for data visualization and analysis.
+ Clean and wrangle data to ensure quality and usability.
+ Assist the team in extracting and loading datasets from the data warehouse.
+ **Back-End Data Support:** Provide support for back-end data and database concerns, ensuring the seamless operation of our data warehouse infrastructure.
+ **Data Warehouse Maintenance:** Maintain the data warehouse and its infrastructure, ensuring optimal performance and reliability.
+ **Compliance Assurance:** Ensure all processes comply with Nestlé's Compliance Standards and Framework.
+ **Additional Responsibilities:** Perform other tasks as assigned in relation to your developmental plan or as required by management.
**What Will Make You Successful:**
+ Minimum of 1 year of experience in Data Analytics or a related field; fresh graduates are encouraged to apply.
+ Degree in Physics, Mathematics, Computer Science, or other related fields.
+ Proficiency in SQL and Python is required.
+ Experience with data ingestion, storage, and transformation, preferably using Azure and Snowflake.
+ Familiarity with Power BI is a plus.
If you're passionate about data and ready to contribute to Nestlé's mission of enhancing the quality of life and shaping a healthier future, this role could be a great fit for you!
This advertiser has chosen not to accept applicants from your region.
7
Cloud Data Engineer
Taguig, National Capital Region
Hunter's Hub, Inc.
Posted 2 days ago
Job Viewed
Job Description
Qualifications
· Bachelor’s graduate br>
· Extensive practical experience in Information Technology and software development projects with at least 5+ years of experience in developing data warehouse systems. (Non-negotiable) br>
· 5+ years of extensive experience in cloud data technologies – in particular on AWS Glue, Apache Spark (Non-negotiable)
· 5+ years of experience in ETL and data warehouse concepts, processes, and best practices. (Non-negotiable) br>
· 5+ years of experience in Big Data and cloud technologies (Non-negotiable) br>
· Possess a combination of solid business knowledge and technical expertise with strong communication skills. br>
· Demonstrate excellent analytical and logical thinking. br>
· Good verbal & written communication skills and ability to work independently as well as in a team environment, providing structure in an ambiguous situation. br>
· Highly trainable br>
Job Description
· Collaboration & coordination with multiple business partners. br>
· Develop pipelines to ingest data from different sources such as databases, delimited files, etc, do complex transformations and load data into the S3. br>
· Develop Glue mapping and create Glue data catalogue. br>
· PostgreSQL's capability for data analysis. br>
· Able to handle the end-to-end ETL or ELT pipeline solely. br>
· Ensuring the work is delivered on time and with quality.
· Bachelor’s graduate br>
· Extensive practical experience in Information Technology and software development projects with at least 5+ years of experience in developing data warehouse systems. (Non-negotiable) br>
· 5+ years of extensive experience in cloud data technologies – in particular on AWS Glue, Apache Spark (Non-negotiable)
· 5+ years of experience in ETL and data warehouse concepts, processes, and best practices. (Non-negotiable) br>
· 5+ years of experience in Big Data and cloud technologies (Non-negotiable) br>
· Possess a combination of solid business knowledge and technical expertise with strong communication skills. br>
· Demonstrate excellent analytical and logical thinking. br>
· Good verbal & written communication skills and ability to work independently as well as in a team environment, providing structure in an ambiguous situation. br>
· Highly trainable br>
Job Description
· Collaboration & coordination with multiple business partners. br>
· Develop pipelines to ingest data from different sources such as databases, delimited files, etc, do complex transformations and load data into the S3. br>
· Develop Glue mapping and create Glue data catalogue. br>
· PostgreSQL's capability for data analysis. br>
· Able to handle the end-to-end ETL or ELT pipeline solely. br>
· Ensuring the work is delivered on time and with quality.
This advertiser has chosen not to accept applicants from your region.
8
Mid Data Engineer
Pasay, National Capital Region
Nityo Infotech
Posted 2 days ago
Job Viewed
Job Description
We’re Hiring!
Nityo Infotech is looking for a talented Data Engineer to join our client in driving data excellence and innovation. If you’re passionate about data and ready to grow your career in a dynamic environment, this opportunity is for you. br>
Position: Data Engineer
Location: Bagumbayan, Quezon City (Onsite)
Schedule: Day Shift
Experience: 1–2 years (solid experience required) < r>Employment Type: Full-time
Job Summary:
We are hiring a Data Engineer with 1–2 years of strong experience in Databricks, AWS, and Python to join our client’s data team. You will be responsible for designing and maintaining scalable data pipelines, managing workflows, and ensuring data quality across systems.
Key Responsibilities:
-- Design, develop, and maintain scalable ETL/data pipelines
-- Collaborate with teams to gather data requirements and implement solutions
-- Work with large datasets using Databricks and AWS tools
-- Write efficient Python scripts for data processing and automation
-- Monitor data flows to ensure consistency, accuracy, and reliability
Qualifications:
-- 1–2 years of solid experience in Databricks, AWS, and Python < r>-- Hands-on knowledge of AWS services like S3, Glue, Redshift
-- Proficiency in Python for data manipulation and automation
-- Strong problem-solving skills and attention to detail
-- Bachelor’s degree in Computer Science, IT, or related field (preferred)
Nityo Infotech is looking for a talented Data Engineer to join our client in driving data excellence and innovation. If you’re passionate about data and ready to grow your career in a dynamic environment, this opportunity is for you. br>
Position: Data Engineer
Location: Bagumbayan, Quezon City (Onsite)
Schedule: Day Shift
Experience: 1–2 years (solid experience required) < r>Employment Type: Full-time
Job Summary:
We are hiring a Data Engineer with 1–2 years of strong experience in Databricks, AWS, and Python to join our client’s data team. You will be responsible for designing and maintaining scalable data pipelines, managing workflows, and ensuring data quality across systems.
Key Responsibilities:
-- Design, develop, and maintain scalable ETL/data pipelines
-- Collaborate with teams to gather data requirements and implement solutions
-- Work with large datasets using Databricks and AWS tools
-- Write efficient Python scripts for data processing and automation
-- Monitor data flows to ensure consistency, accuracy, and reliability
Qualifications:
-- 1–2 years of solid experience in Databricks, AWS, and Python < r>-- Hands-on knowledge of AWS services like S3, Glue, Redshift
-- Proficiency in Python for data manipulation and automation
-- Strong problem-solving skills and attention to detail
-- Bachelor’s degree in Computer Science, IT, or related field (preferred)
This advertiser has chosen not to accept applicants from your region.
9