Senior Data Engineer (IBM DataStage, ETL, SQL/PLSQL)_6+Yrs_Pune/Bangalore/Indore
Pune, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop, and support scalable IBM DataStage ETL solutions
Translate business requirements into technical data solutions
Design data models, semantic views, APIs, and data pipelines
Build reusable, parameterized ETL frameworks with automated workflows
From the employer’s posting
Design, develop, and support scalable IBM DataStage ETL solutions
Translate business requirements into technical solutions.
Design data models, semantic views, APIs, and data pipelines.
Develop reusable ETL frameworks using IBM DataStage, parameterized jobs, metadata-driven solutions, and automated data processing workflows.
Tools in this posting
- Shell
- SQL
- Oracle
- Snowflake
- SQL Server
- Airflow
Source — Tool mentions in context
structured, semi-structured, and unstructured data sources. The candidate should possess deep expertise in IBM DataStage, Snowflake, Unix Shell Scripting, PL/SQL, and workflow orchestration tools such as Airflow/Astronomer. This role involves
The candidate should possess deep expertise in IBM DataStage, Snowflake, Unix Shell Scripting, PL/SQL, and workflow orchestration tools such as Airflow/Astronomer. This role involves building scalable data pipelines, optimizing data movement processes, supporting data
• Strong hands-on experience with IBM DataStage 11.7 or above including parallel Jobs, sequencers, parameter Sets, Job Monitoring, Administration, and Performance Tuning. • Advanced SQL and PL/SQL development skills with strong experience in Oracle and DB2 environments. • Design, develop, test, deploy, and support complex ETL/ELT solutions using DataStage and enterprise data pipelines.
• Implement data extraction, transformation, validation, cleansing, reconciliation, and loading processes using DataStage. • Experience integrating data from Oracle, DB2, SQL Server, Snowflake, flat files, XML, JSON, Parquet, and cloud storage platforms using DataStage. It’s a bonus if you have
architecture standards. The ideal candidate will have extensive experience working with multiple source and target systems including Oracle, DB2, Snowflake, flat files, cloud storage, structured, semi-structured, and unstructured data sources.
Development: Build and enhance: - - Snowflake data pipelines - Data transformations
Posting record
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- Live
- First seen by us
- Oct 13, 2026 · 17 days ago
- Recorded sightings
- 45
- Last seen by us
- Oct 30, 2026
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- Have your resume and examples of relevant work ready.
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Job description
Ready to take your career global?
Make your mark at one of the biggest names in payments. We’re looking for Senior Data Engineer to join our ever-evolving Data Engineering team and help shape the future of global commerce.
What you’ll own
Typical day will be to attend daily stand up meetings and will be a combination of the below activities
Product & Business Collaboration
- Meet with Product Managers, Product Analysts, and Business Stakeholders.
- Understand new business requirements.
- Discuss data needed for new product features, reporting, analytics, or AI use cases.
- Translate business requirements into technical solutions.
Development: Build and enhance:
- Snowflake data pipelines
- Data transformations
- Semantic models
- Cortex AI solutions
- Data quality validations
- Reporting datasets
Solution Design
- Work with architects and technology teams.
- Design data models, semantic views, APIs, and data pipelines.
- Define source-to-target mappings and governance requirements.
- Evaluate performance, scalability, and security considerations.
Design, develop, and support scalable IBM DataStage ETL solutions and enterprise data
pipelines for mission-critical applications. Collaborate with business and technology teams to
deliver high-quality, performant, and reliable data integration solutions aligned with enterprise
architecture standards. The ideal candidate will have extensive experience working with
multiple source and target systems including Oracle, DB2, Snowflake, flat files, cloud storage,
structured, semi-structured, and unstructured data sources.
The candidate should possess deep expertise in IBM DataStage, Snowflake, Unix Shell Scripting,
PL/SQL, and workflow orchestration tools such as Airflow/Astronomer. This role involves
building scalable data pipelines, optimizing data movement processes, supporting data
warehouse, data lake, and Lakehouse platforms, and enabling enterprise analytics and
reporting solutions.
What you’ll bring
Required Skills & Experience
• Strong hands-on experience with IBM DataStage 11.7 or above including parallel Jobs, sequencers, parameter Sets, Job Monitoring, Administration, and Performance Tuning.
• Advanced SQL and PL/SQL development skills with strong experience in Oracle and DB2 environments.
• Design, develop, test, deploy, and support complex ETL/ELT solutions using DataStage and enterprise data pipelines.
• Develop reusable ETL frameworks using IBM DataStage, parameterized jobs, metadata-driven solutions, and automated data processing workflows.
• Analyze business and technical requirements and translate them into scalable ETL designs and data integration solutions.
• Implement data extraction, transformation, validation, cleansing, reconciliation, and loading processes using DataStage.
• Experience integrating data from Oracle, DB2, SQL Server, Snowflake, flat files, XML, JSON, Parquet, and cloud storage platforms using DataStage.
It’s a bonus if you have
- Experience in the payments processing industry
- Experience in handling sensitive data (PCI, PII)
- Experience with Agile Framework for delivering projects
About the team
Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.
Does this sound like you? Then you sound like a Globalpayer.
Apply now to take your career global.
#LI-AZEEMASHAIK
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- Location & working pattern
Pune, India
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