Senior Data Engineer (IBM DataStage, ETL, SQL

Global Payments; Indore; On-site; INR 3,500,000 - 5,000,000; Full time

Job summary

Global Payments is seeking a Senior Data Engineer to join the Data Engineering team in India. You will architect and implement scalable data pipelines using IBM DataStage, Snowflake, and related tech, supporting mission-critical applications and enterprise analytics.

You will collaborate with product managers, analysts, and business stakeholders to translate requirements into robust data solutions, APIs, and governance considerations.

Qualifications

• Deep expertise with IBM DataStage 11.7+ and parallel Jobs
• Strong SQL/PL/SQL development with Oracle/DB2
• Experience building scalable ETL/ELT data pipelines

Responsibilities

• Attend daily stand-up meetings and collaborate with Product Managers, Analysts, and stakeholders
• Design data models, semantic views, APIs, and data pipelines
• Translate business requirements into technical data solutions and governance rules
• Develop and support IBM DataStage-based ETL solutions and enterprise data pipelines
• Ensure data quality, performance, and security in move of data across sources

Skills

IBM DataStage

Snowflake

Unix Shell Scripting

PL/SQL

Airflow/Astronomer

SQL

ETL/ELT

Data pipelines

Tools

Oracle

DB2

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.