16 Data Pipelines jobs in the Philippines
Lead Cloud Consultant - Data Architecture & Engineering (Remote)
Posted 9 days ago
Job Viewed
Job Description
We are currently hiring for Lead Consultant - Data Architecture & Engineering .
We look forward to reviewing your application and potentially working with you.
General Required Technical Skills:
- Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings).
- Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
- Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
- Experience with multiple full life-cycle data warehouse implementations
- Understanding of data architectures required to support data integration processing
- Experience with data modeling technologies such as ER/Studio, ER/Win or similar
- Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
- Demonstrated ability to quickly learn, adopt and apply new technologies
- Data profiling and creation of source to target mappings
- Ability to provision and configure Azure data service resources
Detailed Required Skills:
- Python & SQL Scripting
- SQL, PySpark
- General Cloud Architecture competency skillset
- Capable of taking requirements and building out data pipelines
- API Knowledge is required, but preference given to candidates who can create APIs
Preferred Experience/Skills/Certifications
- Microsoft Fabric
- Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
- Experience creating strategies to migrate customers from on-premise environments to Azure
- Power BI and semantic modeling
- AWS Glue & Azure Data Factory
- AWS S3 & Azure Blob
- AWS Athena & Azure Databricks
- AWS Redshift & Azure Synapse
- AWS ECS & Azure AKS
Don't miss this opportunity to take the next step in your cloud engineering career we'd love to hear from you!
Lead Consultant Data Architecture & Engineering (GDC) -WFH/Remote
Posted 19 days ago
Job Viewed
Job Description
Due to logistical reasons, only Philippine-based applicants are accepted. br>
Job Highlights:
Leadership Opportunities—This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision-making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership, all while remaining hands-on in your areas of expertise. < r>Our technology focus is on Azure—you'll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else. < r>Microsoft Partnerships—Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities and access to the teams that have built the platform. You won't find this at other places. < r>Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, and other remuneration.
Great working environment and company culture with a flexible work location.
Detailed Required Skills:
Python & SQL Scripting
SQL, PySpark
General Cloud Architecture competency skillset—capable of taking requirements and building out data pipelines < r>API Knowledge is required, but preference given to candidates who can create APIs
Preferred Experience/Skills/Certifications:
Microsoft Fabric
Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
Experience creating strategies to migrate customers from on-premise environments to Azure
Power BI and semantic modeling
AWS Glue & Azure Data Factory
AWS S3 & Azure Blob
AWS Athena & Azure Databricks
AWS Redshift & Azure Synapse
AWS ECS & Azure AKS
General Required Technical Skills:
Experience leading small- to medium-sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, and representing the team in Agile ceremonies and client meetings).
Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
Implementing data architectures to support a variety of data formats and structures, including structured, semi-structured, and unstructured data
Experience with multiple full life-cycle data warehouse implementations
Understanding of data architectures required to support data integration processing
Experience with data modeling technologies such as ER/Studio, ER/Win or similar
Experience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
Demonstrated ability to quickly learn, adopt and apply new technologies
Data profiling and creation of source-to-target mappings
Ability to provision and configure Azure data service resources
Data Integration Engineer
Posted 10 days ago
Job Viewed
Job Description
Key Responsibilities:
+ Assist in client-facing technical support relating to data ingestion and data configurations.
+ Assist in monitoring and maintaining data pipelines, including those built with tools like Matillion and other orchestration frameworks.
+ Manage and troubleshoot pre-written scripts, including PHP or similar languages, that load data into a Postgres database.
+ Troubleshoot and resolve data integration issues across internal systems, ensuring data accuracy and pipeline stability.
+ Document standard procedures, pipeline behaviors, and recurring technical issues.
+ Collaborate with fellow data engineers, Support, and product teams to ensure smooth deployment and post-deployment operations.
+ Escalate complex technical challenges to senior team members as needed.
Qualifications:
+ Bachelor's Degree holder.
+ Familiarity with SQL or similar data transformation tools.
+ Familiarity with PHP or similar, python.
+ Experience with data orchestration tools like Matillion, with awareness of other frameworks such as Airflow or Prefect.
+ Strong problem-solving and collaboration skills.
+ Eagerness to learn and grow in a fast-moving, research-informed environment.
+ Experience in a client-facing role assisting enterprise users.
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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Data Integration Architect Bgc
Posted today
Job Viewed
Job Description
Lead technical requirements gathering, data discovery, documentation, and implementation of assigned client integrations
Support the development of software tools, processes, and procedures that radically reduce customer implementation cycle time and eliminate opportunities for deployment defects
Leave clients elated-continual customer satisfaction is a requirement for this role
Understand the needs of the business to ensure data supports client requirements
Required Technical and Professional Expertise
Minimum four years data integration experience preferably within the healthcare industry
Proficient with Microsoft SQL Server or other RDBMS (Relational Database Management System)perience
Preferred Technical and Professional Expertise
SQL Server Integration Services (SSIS) experience
Cloverleaf Integration Engine experience
Programming experience in at least one development environment (Python, Ruby,.Net etc.)
Experience with non-Microsoft(Oracle, Informix, Progress, etc.) database systems
Exposure to big data technologies (Pig, Hive, Impala, HDFS, HBase, etc.)
Data analysis experience
Ability to research and solve system and data integration issues
Strong organizational and documentation skills
Excellent communication skills (verbal and written)
Database development experience,
Bachelor’s degree or equivalent ex
Data Integration Group Manager - Sr. Vice President

Posted 14 days ago
Job Viewed
Job Description
This position requires a thorough understanding of enterprise data governance concepts, combined with practical experience of implementing them in a complex organization. Excellent communication skills are required to influence internally, often at a senior level.
**Responsibilities:**
+ Manage a team or a functional area, while maintaining appropriate staffing requirements to meet operational needs; operate as a "player / coach"
+ Responsible for the overall direction, coordination, implementation, execution, control and completion of the program / project and associated dependencies
+ Partner with other senior project staff and client senior management teams regarding status of project and to drive the execution of requirements, training, and ensuring compliance with Citi standards
+ Directly impacts the businesses / functions by influencing stakeholders through advice or council
+ Address potential barriers to timely execution before they impact the delivery, communicate potential risks and plans to mitigate issues and concerns
+ **Develop content for relevant governance forums** **Lead the facilitation, coordination, and arbitration of cross-functional complex problems within / across programs and with Senior Management** **Liaise between the Enterprise Chief Data Office, Federated Chief Data Office and other key partners in the Functions and Lines of Business to progress the Data Transformation agenda**
+ **Management of the Adjustment Reduction Program including managing remediation workstreams enterprise wide**
+ **Manage work streams focusing on broad range of Data initiatives including data requirements, issues management, Data Quality rules, lineage, and taxonomy**
**Qualifications:**
+ 10+ years of experience in Banking or Finance preferred
+ Demonstrates consistent track record of having worked as a Program or Project Manager, or working on large, strategic cross-functional projects
+ Strong business analysis competency with historic success in shaping opportunities via conceptual thinking and abstract problem-solving capabilities
+ Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; able to drive consensus, and influence relationships at all levels
+ Collaborates effectively by building partnerships and working well with others to meet shared objectives
+ Ability to gain confidence and trust of others through honesty, integrity and authenticity
+ Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
+ Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between understanding the "big picture" while paying close attention to detail
+ Organizational savvy; understands systems, management processes, knows where to go for information and how to interpret them
+ Working knowledge of Citi's Data Operating Model
+ Experience working in accounting and Ledger based systems, processes, and functions
+ Experience working with Front Office, Middle, and Back office Data flows and Processes including Data Aggregator
+ Knowledge of Regulatory reporting
**Education:**
+ Bachelor's/University degree, Master's degree preferred
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**Job Family Group:**
Data Governance
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**Job Family:**
Data Integration
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**Time Type:**
Full time
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**Most Relevant Skills**
Change Management, Data Governance, Data Management, Data Quality, Emerging Tools and Technologies, Internal Controls, IT Implementation and Integration, Management Reporting, Program Management, Risk Management.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
Data Engineer-Data Integration (Informatica AND Cloud)
Posted 20 days ago
Job Viewed
Job Description
A career in IBM Consulting is rooted in 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. You will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking 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**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
**Required technical and professional expertise**
Required skills (maximum of 6): - Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience). - At least 4 years of working experience in cloud operations, managing cloud-based infrastructure, and deploying cloud services. - Proficiency in cloud platforms such as Amazon Web Services (AWS) and/or Microsoft Azure. - Strong understanding of infrastructure-as-code principles and tools. - Familiarity with scripting and automation using languages like Python, PowerShell, Bash, etc. - Experience with monitoring and log aggregation tools for proactive issue detection. - Knowledge of security best practices and experience implementing security controls in cloud environments. - Excellent problem-solving skills and the ability to troubleshoot complex technical issues. - St Nice to have skills (maximum of 3): - Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience). - At least 4 years of working experience in cloud operations, managing cloud-based infrastructure, and deploying cloud services. - Proficiency in cloud platforms such as Amazon Web Services (AWS) and/or Microsoft Azure. - Strong understanding of infrastructure-as-code principles and tools. - Familiarity with scripting and automation using languages like Python, PowerShell, Bash, etc. - Experience with monitoring and log aggregation tools for proactive issue detection. - Knowledge of security best practices and experience implementing security controls in cloud environments. - Excellent problem-solving skills and the ability to troubleshoot complex technical issues. -
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer-Data Integration (Informatica AND Cloud)
Posted 20 days ago
Job Viewed
Job Description
A career in IBM Consulting is rooted in 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. You will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking 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**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
**Required technical and professional expertise**
Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience). - At least 4 years of working experience in cloud operations, managing cloud-based infrastructure, and deploying cloud services. - Proficiency in cloud platforms such as Amazon Web Services (AWS) and/or Microsoft Azure. - Strong understanding of infrastructure-as-code principles and tools. - Familiarity with scripting and automation using languages like Python, PowerShell, Bash, etc. - Experience with monitoring and log aggregation tools for proactive issue detection. - Knowledge of security best practices and experience implementing security controls in cloud environments. - Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Data Engineer-Data Integration (Informatica AND Cloud)
Posted 20 days ago
Job Viewed
Job Description
A career in IBM Consulting is rooted in 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. You will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking 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**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
**Required technical and professional expertise**
Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience). - At least 4 years of working experience in cloud operations, managing cloud-based infrastructure, and deploying cloud services. - Proficiency in cloud platforms such as Amazon Web Services (AWS) and/or Microsoft Azure. - Strong understanding of infrastructure-as-code principles and tools. - Familiarity with scripting and automation using languages like Python, PowerShell, Bash, etc. - Experience with monitoring and log aggregation tools for proactive issue detection. - Knowledge of security best practices and experience implementing security controls in cloud environments. - Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer-Data Integration (Informatica AND Cloud)
Posted 20 days ago
Job Viewed
Job Description
A career in IBM Consulting is rooted in 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. You will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking 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**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
**Required technical and professional expertise**
Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience). - At least 4 years of working experience in cloud operations, managing cloud-based infrastructure, and deploying cloud services. - Proficiency in cloud platforms such as Amazon Web Services (AWS) and/or Microsoft Azure. - Strong understanding of infrastructure-as-code principles and tools. - Familiarity with scripting and automation using languages like Python, PowerShell, Bash, etc. - Experience with monitoring and log aggregation tools for proactive issue detection. - Knowledge of security best practices and experience implementing security controls in cloud environments. - Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
**Preferred technical and professional experience**
w/ certification on cloud (AWS or Azure). running ETL on the cloud, informatica on the cloud, Healthcare experience
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer-Data Integration (Cloud and Informatica)
Posted 23 days ago
Job Viewed
Job Description
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**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
**Required technical and professional expertise**
This role involves leading the supporting migration efforts, ensuring seamless transition, and leveraging the advanced features of IDMC. The ideal person will have extensive experience in data integration, migration projects and hands-on expertise with both CDI-PC and IDMC.
- Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience). - At least 4 years of working experience in cloud operations, managing cloud-based infrastructure, and deploying cloud services. - Proficiency in cloud platforms such as Amazon Web Services (AWS) and/or Microsoft Azure. - Strong understanding of infrastructure-as-code principles and tools. - Familiarity with scripting and automation using languages like Python, PowerShell, Bash, etc. - Experience with monitoring and log aggregation tools for proactive issue detection. - Knowledge of security best practices and experience implementing security controls in cloud environments. - Excellent problem-solving skills and the ability to troubleshoot complex technical issues. - St Nice to have skills (maximum of 3): - Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience). - At least 4 years of working experience in cloud operations, managing cloud-based infrastructure, and deploying cloud services. - Proficiency in cloud platforms such as Amazon Web Services (AWS) and/or Microsoft Azure. - Strong understanding of infrastructure-as-code principles and tools. - Familiarity with scripting and automation using languages like Python, PowerShell, Bash, etc. - Experience with monitoring and log aggregation tools for proactive issue detection. - Knowledge of security best practices and experience implementing security controls in cloud environments. - Excellent problem-solving skills and the ability to troubleshoot complex technical issues. -
**Preferred technical and professional experience**
w/ certification on cloud (AWS or Azure). running ETL on the cloud, informatica on the cloud, Healthcare experience
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.