Python DataStage Developer

• Experienced Python DataStage Developer responsible for designing, developing, and maintaining ETL/data integration solutions for banking applications.

• The role involves:

• Building scalable data pipelines

• Automating data processing

• Supporting regulatory and financial reporting

• Ensuring data quality across enterprise systems

• Experience with IBM DataStage, Python, SQL, and banking data is essential.

• Enterprise profiles also emphasize:

• ETL development

• Data transformation

• SQL optimization

• Banking domain expertise

Key Responsibilities

• Design, develop, and support ETL workflows using IBM DataStage.

• Develop Python scripts for:

• Data ingestion

• Transformation

• Validation

• Automation

• Create and optimize:

• SQL queries

• Stored procedures

• Database objects

• Integrate data from multiple banking systems, including:

• Core banking

• Payments

• Loans

• Regulatory reporting platforms

• Perform data quality checks, reconciliation, and troubleshooting of production issues.

• Collaborate with business analysts, architects, and compliance teams to deliver data solutions.

• Support:

• Batch processing

• Incident management

• Change management activities

• Ensure adherence to:

• Banking security

• Governance

• Regulatory standards

Required Skills

• Strong experience with IBM DataStage ETL development.

• Proficiency in:

• Python

• SQL

• Unix/Linux scripting

• Knowledge of:

• Data Warehousing

• ETL concepts

• Data Modeling

• Experience with:

• Oracle

• DB2

• Snowflake

• Or similar databases

• Understanding of:

• SDLC

• Agile methodologies

• Version control tools (Git)