Job highlights

- The candidate should possess deep expertise in IBM DataStage,Snowflake,Unix Shell Scripting,PL / SQL,and workflow orchestration tools such as Airflow / Astronomer.

- 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.

Job Summary

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.

Responsibilities

- 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 recent 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.

- Additional responsibilities

- 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.

Requirements

- 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Data Engineer (IBM DataStage, ETL, SQL/PLSQL) (Indore)
🏢 Tsys Global Solutions
📍 Indore