Global Payments Inc.
Global Payments Inc.
Global Payments Inc. is a global commerce technology company operating across finance, fintech, and B2B services. Its platform supports more than 4 million customers and processes approximately 66 billion transactions each year, helping businesses manage payments and related commerce operations. A workforce of about 27,000 people contributes across technology, sales, customer service, and other functions, creating opportunities for professionals interested in building and supporting tools used by businesses worldwide.

Senior Data Engineer, IBM DataStage ETL and SQL/PLSQL — Pune Hybrid

Build IBM DataStage and Snowflake data pipelines, models, and reporting datasets for payment commerce. Partner with product, business, architecture, and technology teams on scalable integration, analytics, and AI use cases.

Description

  • Join daily stand-ups and coordinate with product managers, product analysts, and business stakeholders.
  • Clarify data needs for product features, reporting, analytics, and AI use cases.
  • Turn business requirements into technical data solutions.
  • Develop and improve Snowflake pipelines, transformations, semantic models, Cortex AI solutions, data quality checks, and reporting datasets.
  • Partner with architects and technology teams to shape solution designs.
  • Design data models, semantic views, APIs, and pipelines.
  • Specify source-to-target mappings and data governance needs.
  • Assess performance, scalability, and security in solution designs.
  • Develop and support enterprise ETL solutions and data pipelines with IBM DataStage.
  • Deliver dependable data integration in line with enterprise architecture standards.
  • Create scalable pipelines and improve data movement.
  • Support data warehouse, data lake, and Lakehouse platforms.
  • Enable enterprise analytics and reporting.
  • Work across business and technology teams.
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Requirements

  • Bring at least six years of relevant experience.
  • Have strong practical knowledge of IBM DataStage 11.7 or later, including parallel jobs, sequencers, parameter sets, monitoring, administration, and performance tuning.
  • Demonstrate advanced SQL and PL/SQL development skills.
  • Have substantial experience with Oracle and DB2.
  • Design, develop, test, deploy, and support complex ETL/ELT solutions using DataStage and enterprise pipelines.
  • Build reusable DataStage ETL frameworks, including parameterized jobs, metadata-driven solutions, and automated workflows.
  • Translate business and technical needs into scalable ETL designs and data integration solutions.
  • Use DataStage for data extraction, transformation, validation, cleansing, reconciliation, and loading.
  • Integrate Oracle, DB2, SQL Server, Snowflake, flat files, XML, JSON, Parquet, and cloud storage through DataStage.
  • Work with multiple source and target systems spanning structured, semi-structured, and unstructured data.
  • Bring deep Unix shell scripting skills and experience with workflow orchestration tools such as Airflow or Astronomer.
  • Have experience with Snowflake pipelines, transformations, semantic models, Cortex AI solutions, data quality checks, and reporting datasets.
  • Have experience with data warehouse, data lake, and Lakehouse platforms.
  • Payments processing experience is an advantage.
  • Experience handling sensitive PCI or PII data is an advantage.
  • Agile experience is an advantage.

Benefits

  • Access to career opportunities across global markets.
  • Explore roles and opportunities across borders.
  • Join an inclusive team with a global outlook.
  • Learn from industry specialists and develop your career.

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