747 Nosql Database jobs in the Philippines

REQUIRED SKILLS AND QUALIFICATIONS KEY RESPONSIBILITIES

• Lead the design, development, and maintenance of robust data pipelines and workflows.

• Write and optimize complex SQL queries, stored procedures, and views for performance and scalability.

• Oversee and manage the operational aspects of data stores.

• Drive data optimization, performance tuning, and integrity checks.

• Manage cloud-based SQL server (azure managed instance) environments.

• Lead the migration of data and systems from SQL server to snowflake.

• Work with datalake environments and support data ingestion and transformation processes.

• Collaborate with cross-functional teams including data analysts, developers, and business stakeholders.

• Provide technical leadership, code reviews, and mentorship to junior team members.

QUALIFICATIONS

• Strong SQL expertise including stored procedures, views, and performance tuning.

• Experience in azure cloud, particularly with SQL server managed instances.

• Hands-on experience with snowflake and cloud-based data migration.

• Familiarity with datalake architectures and concepts.

• Experience with ssis and/or crystal reports is a plus.

• Strong problem-solving skills and attention to detail.

• Excellent communication and leadership skills.

Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role And Responsibilities
As a Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.

Your Primary Responsibilities Include

• Strategic Data Model Design and ETL Optimization: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements.
• Robust Data Infrastructure Management: Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
• Seamless Data Accessibility and Security Coordination: Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.

Required Technical And Professional Expertise

• Experience in ETL, Snowflake, and or DBT.
• Experience in SQL, Unix scripting and or Shell scripting,
• Experience on databases like DB2, Netezza.
• Experience in Scheduling tools like Control-M.

Preferred Technical And Professional Experience

• Technical Development experience
• Demonstrated client interaction and excellent communication skills; both (written and verbal)
• Amenable to work on a client dictated schedule (Day, Mid and Night) and Location

The
Data Engineer
is responsible for the creation, maintenance, and continuous improvement of data pipelines. Part of his/her responsibilities are to implement best practices in data management practices (i.e., cleaning, validation, and transformation of data) make data into usable datasets that can easily be consumed by other teams. This role will also work closely with the software engineers, data analysts, data scientists and data governance to understand how the data behaves in its respective domain, to clarify business and technical requirements on different data use cases, and to design and create efficient and reliable data pipelines. Within Data Engineering, this person will learn and adopt best practices on data management, data architecture design, and DataOps principles. May it be in Central DE or Distributed DE, a Data engineer is crucial in creating value for downstream teams that use data.

About the Role

Key Responsibilities:

• Develop, maintain, and optimize data pipelines, data models, and data management solutions across data warehouses, data/delta lakes, or lakehouse environments.
• Collaborate with upstream teams (e.g., Mesh Teams) to integrate data sources and with downstream teams to ensure data usability and accessibility.
• Understand and adhere to existing technology standards and Data Engineering (DE) best practices.

Responsibilities

Central DE:

• Maintain and enhance the overall data architecture, ensuring scalability, high availability, and timely data ingestion.
• Build and optimize data pipelines for new data sources, applying DataOps principles to ensure seamless operations and minimal disruptions.

Distributed DE:

• Acquire and maintain deep domain knowledge of assigned data areas to inform data modeling and pipeline development.
• Design and develop data models for Zone 2 (silver layer) and Zone 3 (gold layer), ensuring business datasets are accurate, reliable, and ready for downstream consumption.

Qualifications

• Good working knowledge on Shell (e.g. bash, zsh) scripting
• Good working knowledge on data manipulation (SQL statements, JSON, NOSQL query, etc.)
• Good working knowledge on AWS services (EC2, S3, Glue Crawlers, Jobs, Batch, Athena, Lambda, etc.) or equivalent cloud offerings a big plus
• Good working knowledge on Apache Spark using SQL/Python
• Good understanding of the concepts of Datawarehouse, Data Lake/Delta Lake and/or Lakehouse
• Ability to work with other Leads to foster a culture of collaboration and teamwork

Required Skills

Central DE:

• Good knowledge on Linux/Unix Administration
• CI/CD experience using Terraform a big plus

Distributed DE:

• Good working knowledge on data modeling

Why Nasdaq
When you work at Nasdaq, you're working for more open and transparent markets so that more people can access opportunities. Connections can be made, jobs can be created, and communities can thrive. We want all our employees to have access to opportunity, too. That means planning for career growth, ensuring you have the tools you need, and promoting an inclusive culture where we're all valued for our unique perspective.

Here, you will work for a global tech leader committed to breaking down barriers to inclusive prosperity. We see technology as a means to free people up to work together more productively and effectively by centralizing data, analytics, and market intelligence.

Here, we're committed to building a more diverse and inclusive workforce. Not only is it our responsibility to do better, but we also need representative voices to power the fresh thinking that is vital for our business and our clients.

What We Offer
This is a permanent full-time role based in Bonifacio Global City, Taguig following a hybrid work model setup (at least 2 in office days per week).

You can expect an autonomous but fast-paced work environment where you are recognized for your results and ability to drive things forward. Every day brings many opportunities to learn & grow and rewards with a global impact we create.

In return, you will receive HMO coverage for you and your dependents, employee stock purchase plan, equity grant, retirement plan, annual bonus, free counseling sessions, subscription to e-learning platforms, fitness, wellness and more.

What You Will Do
The Data Operations and Engineering (DOPE) division of Nasdaq Data Link is responsible for the datasets that our customers buy and consume every day. We are seeking a
Data Operations Analyst
to join our growing team.

As part of the Data Operations Team, you will contribute by monitoring and maintaining hundreds of datasets on Nasdaq Data Link. This includes monitoring various tools to ensure dataset timeliness and accuracy, communicating with stakeholders, prioritizing and resolving data issues, and handling various maintenance tasks related to data products. Specifically, you will:

• Continuously monitor a shared email inbox, various Slack channels and PagerDuty to respond to alerts related to data delays.
• Troubleshoot alerts and determine the appropriate course of action.
• Communicate with partners, Customer Success and other stakeholders to keep them aware of ongoing issues.
• Assist the various support teams to resolve outstanding queries from customers and partners.
• Develop your programming skills in Python, Spark and SQL.
• Learn to use new tools such as Databricks and Monte Carlo

What We Expect

• Have 1-3 years of professional experience in understanding data products and data management. Recent graduates are welcome to apply.
• Amenable to work on a rotational shift schedule and accommodate weekend work as the team operates 24/7 depending on business needs.
• Have a Bachelor of Computer Science/Engineering or equivalent degree or have equivalent qualifications/experience.
• Able to communicate professionally with internal and external stakeholders.
• Be eager to learn new technologies and best practices in data engineering by working with a world-class data team.
• Have a basic knowledge of Python/SQL/Git and be willing to further develop these skills
• Be eager to learn about parallel processing frameworks, orchestration/scheduling tools, and distributed data systems such as Databricks and Airflow.
• Be entrepreneurial and enthusiastic about working in a fast-paced environment.

What Would Be Helpful

• Familiarity with Databricks and Airflow

Does It Sound Like You?
Please follow through by clicking the "Apply" link and submitting your application. If your skills and experience are a match, we will be in touch soon. In the meantime, please visit our website and social media channels to learn more about our innovative business, inclusive culture and discover why Nasdaq Manila is Great Place To Work certified

Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

• Design and build robust, scalable, and efficient data pipelines using Spark (PySpark, Scala, SQL, etc.).
• Manage and optimize ETL/ELT processes, including data ingestion, transformation, and integration from multiple sources into data lakes and warehouses.
• Utilize Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake, and Azure SQL Database for data engineering tasks.
• Ensure data quality, reliability, security, and performance across all pipelines and systems.
• Collaborate with data analysts, BI developers, and stakeholders to understand data needs and deliver accurate solutions.
• Perform data profiling, validation, and cleansing to maintain integrity and consistency.
• Monitor, troubleshoot, and optimize existing pipelines and workflows.
• Document processes, data flows, and technical solutions.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering or a similar role.
• Strong hands-on experience with Azure Data Factory, Databricks, Synapse, Data Lake, and SQL Database.
• Proficiency in ETL/ELT design and implementation.
• Expertise in Spark (PySpark, Scala, SQL) for large-scale data processing.
• Strong knowledge of SQL (querying, optimization, stored procedures).
• Familiarity with Python for scripting and automation.
• Understanding of data modeling, warehousing, and schema design.
• Knowledge of data governance, security, and compliance best practices.
• Strong analytical, problem-solving, and collaboration skills.

Additional Requirements:

• Open to Project based employment (12 months w/ possibility of absorption depends on your performance)

Job Responsibilities:

• Collaborate with business teams to understand requirements and deliver effective reporting and data solutions.
• Design, develop, test, and maintain software applications and data pipelines.
• Analyze and resolve issues across systems, projects, and processes.
• Influence leadership by presenting innovative ideas and technical solutions.
• Create and maintain technical documentation and user guides.
• Ensure data integrity, security, and compliance across systems.
• Support CI/CD pipelines and DevOps practices for efficient deployments.
• Participate in Agile development processes and project planning.

Job Qualifications:

Must Have:

• 8+ years of experience working with tools like MS SQL Server and ETL (SSIS)

Nice to Have:

• Experience (2+ months) with Snowflake or Databricks
• Expertise in creating/debugging stored procedures, handling transactions, and error management
• 2+ years of hands-on experience in .NET

What We Offer:

• Competitive Total Rewards Package
• Retirement Plan
• HMO Coverage from Day 1
• Dental, Medical, and Optical Reimbursements
• Life and Disability Insurance
• Paid Time-Off Benefits
• Sick Leave Conversion
• Tuition Fee Reimbursement
• Employee Assistance Program (EAP)
• Annual Performance-Based Merit Increases
• Employee Recognition Programs
• Training and Staff Development Opportunities
• Employee Referral Program
• Volunteerism Opportunities
• All Mandatory Statutory Benefits

Who We Are:

·
Optum
is the health care technology and innovation arm of UnitedHealth Group, working alongside
UnitedHealthcare
.

· As part of a Fortune 5 enterprise, we are committed to helping people live healthier lives and making the health system work better for everyone.

· With operations across North America, South America, Europe, Asia Pacific, and the Middle East—including over 25,000 employees in the Philippines—we are a global leader in health solutions and care delivery.

Join us and be part of a team that's
Caring. Connecting. Growing together.

The Role:

• Develops code and solutions that transfers/transforms data across various systems.
• Maintains deep technical knowledge of various tools in the data warehouse, data hub, and analytical tools.
• Ensures data is transformed and stored in efficient methods for retrieval and use.
• Maintains data systems to ensure optimal performance.
• Develops a deep understanding of underlying business systems involved with analytical systems.
• Follows standard software development lifecycle, code control, code standards and process standards.
• Maintains and develops technical knowledge by self-training of current toolsets and computing environments, participates in educational opportunities, maintains professional networks, and participates in professional organizations related to their tech skills.
• Systems Analysis.
• Works with key stakeholders to understand business needs and capture functional and technical requirements.
• Offers ideas that simplify the design and complexity of solutions delivered.
• Effectively communicates any expectations required of stakeholders or other resources during solution delivery.
• Develops and executes test plans to ensure successful rollout of solution, including accuracy and quality of data.

Service Management

• Effectively communicates to leaders and stakeholders any obstacles that occur during solution delivery.
• Defines and manages promised delivery dates.
• Pro-actively research, analyzes, and predicts operational issues, informing leadership where appropriate.
• Offers viable options to solve unexpected/unknown issues that occur during solution development and delivery.

EDUCATION / JOB-RELATED TECHNICAL SKILLS:

• Bachelor's Degree in Computer Science/Information Technology or equivalent.
• Ability to effectively communicate with others at all levels of the Company both verbally and in writing.
• Demonstrates a courteous, tactful, and professional approach with employees and others.
• Ability to work in a large, global corporate structure.
• Advanced English level, advanced level of additional language is a plus.
• Strong sense of ethics and company's core values and adherence thereto.
• Willingness to travel both domestically and internationally to support global implementations.
• Demonstrated ability to clearly isolate and define problems, effectively evaluate alternative solutions, and make decisions in a timely manner.
• Good decision-making ability, ability to operate in ambiguous situations and high analytical ability to judge pros-cons of approaches against objectives.

Candidate must have a minimum of (3) years of experience in a Data Engineer role, including the following tools/technologies:

• Experience with relational (SQL) databases.
• Experience with data warehouses like Oracle, SQL & Snowflake.
• Technical expertise in data modeling, data mining and segmentation techniques.
• Experience with building new and troubleshooting existing data pipelines using tools like Pentaho Data Integration.
• Experience with batch and real time data ingestion and processing frameworks. o Experience with languages like Python, Java, etc.
• Knowledge of additional cloud-based analytics solutions, along with Kafka, Spark and Scala is a plus.

Job Type: Full-time

Pay: Php85, Php95,000.00 per month

Benefits:

• Company events
• Gym membership
• Health insurance
• Life insurance
• Opportunities for promotion
• Promotion to permanent employee

Education:

• Bachelor's (Required)

Experience:

• Data Engineering: 3 years (Required)
• Azure: 3 years (Required)
• Snowflake: 3 years (Required)
• Oracle: 3 years (Preferred)
• SQL: 3 years (Preferred)

Work Location: In person

Unleash Your Talent with US

Hi there, our future 
Data Engineer
 Happy to see 
YOU
 here.

Here at Integrated OS, you'll be part of a team of passionate individuals who are committed to delivering exceptional offshoring services. Bringing in an array of skills and talents from different areas of business from Finance, Human Resources, Information Technology, Customer Service, and Marketing to Sales and Operations.

From humble beginnings, we have built our company from our first team member onwards. Initially, we were lending support to an Australian print manufacturer - The Lamson Group.

Since then, we have continued to uphold our core values and culture and developed a deeper understanding of how people need help to succeed in their goals. And YOU might be a part of this amazing growth as our team keeps growing above all expectations

What you'll do:

As our 
Data Engineer
, you'll play a key role in the development, maintenance, and optimisation of our data infrastructure. You'll work hands-on with SQL Server, design efficient queries, manage APIs and system integrations, and support cloud data workflows in Azure. Your contributions will directly support business functions across departments, enabling more informed decisions and enhanced operational efficiency.

Key responsibilities for this role include:

Data and SQL Development

• Write and optimise T-SQL queries for data extracts and reporting purposes.
• Create, update, and maintain SQL Server database objects, including stored procedures, views, and functions.
• Collaborate with the BI & Solutions Manager to support Power BI reports by ensuring timely and accurate data availability.

Systems Integration & Automation

• Design, build, and maintain integrations between business systems using APIs and webhooks.
• Support existing integration processes and proactively identify opportunities for automation or improvement.
• Troubleshoot and resolve integration failures in a timely manner.

Azure Data & Cloud

• Monitor and maintain Azure Data Factory pipelines feeding our Azure Data Warehouse.
• Assist with troubleshooting data flow and transformation issues.
• Support cloud-based data infrastructure and contribute to its continual improvement.

Project & Support Collaboration

• Work closely with the IT and business stakeholders across departments including HR, Operations, Enrolments, and Finance.
• Translate business requirements into technical solutions in a structured and scalable manner.
• Participate in cross-functional projects, contributing to technical design, development, and testing.

Successful candidates must have:

• Strong T-SQL development skills and experience working with SQL Server.
• Practical experience with system integrations (APIs, webhooks, JSON, etc.).
• Understanding of or exposure to Azure Data Factory and data pipeline concepts.
• Experience working with Power BI.
• A strong understanding of data warehouse architecture and ETL processes.
• Experience with scripting languages (e.g., Python, PowerShell), any programming language (e.g., PHP, C#).
• Familiarity with DevOps tools.
• Previous experience in the childcare, education, or not-for-profit sectors.
• Familiarity with data flow design, development best practices and version control.
• Proactive problem-solving approach and attention to detail.
• A strong communicator who can interpret technical and business requirements effectively.
• Willingness to learn, adapt, and grow with the organisation.

Work Arrangements:

• Schedule:
  6:00 AM - 3:00 PM PHT
• Work Setup:
   Work-Onsite
• Office Location:
   Parkway Corporate Center, Alabang, Muntinlupa City

What's in it for YOU?

At 
Integrated OS
, we create career opportunities where you can thrive, grow, and make an impact.

• Competitive Salary & Benefits:
   Be rewarded for your expertise and dedication.
• Career Growth & Development:
   Work alongside international clients and gain valuable experience.
• Work-Life Balance:
   Our innovative activities, open communication channels, and commitment to inclusivity make every day exciting and rewarding
• Collaborative & Supportive Environment:
   Be part of a passionate team that values innovation and teamwork.

Your seat awaits Be part of our thriving team and
CLICK APPLY

• College Graduate
• Advanced Excel proficiency (pivot tables, advanced formulas, data analysis tools)
• Strong VBA programming experience
• MS SQL Server knowledge (queries, stored procedures, database connections)
• Understanding of ODBC/OLE DB connections
• Experience: 2–3 years in Excel development/support or similar technical role.
• Knowledge of SQL Server Management Studio
• Familiarity with data visualization tools
• Previous experience supporting business users in a corporate environment

Location: BGC, Taguig

Work Setup: Hybrid

Work Schedule: Midshift

Job Type: Full-time

Pay: Php50, Php55,000.00 per month

Work Location: In person