sponsibilities:

• Design, develop, and maintain ETL workflows and data pipelines to integrate data from multiple source systems into Data Warehouses and Data Marts.
• Capture and translate business and data requirements into efficient technical ETL solutions.
• Perform data mapping, transformation logic, and ensure data quality and consistency across systems.
• Monitor and optimize ETL jobs for performance, scalability, and reliability.
• Troubleshoot and resolve ETL and data-related issues, ensuring minimal downtime.
• Collaborate with data architects, analysts, and business teams to deliver high-quality data solutions.
• Support production deployments, conduct impact analysis, and perform root-cause analysis for data issues.
• Maintain technical documentation for ETL processes, data flows, and transformation logic.
• Contribute to process automation and improvement initiatives to enhance data integration efficiency.
• Ensure compliance with data governance, security, and enterprise architecture standards.

Requirements:

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• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3–4 years of hands-on experience in ETL development and data integration for enterprise-scale projects.
• Strong knowledge of ETL tools such as Informatica, IBM DataStage, Oracle Data Integrator (ODI), or Talend.
• Proficiency in SQL and Shell scripting for data extraction, validation, and automation.
• Experience with relational databases (e.g., Teradata, Oracle, DB2, SQL Server).
• Familiarity with data warehouse concepts, data modeling, and data quality frameworks.
• Exposure to big data or cloud data integration platforms (e.g., Hadoop, AWS Glue, Azure Data Factory, GCP Dataflow) is a plus.
• Good understanding of Unix/Linux environments and scheduling tools (e.g., Autosys, Control-M, or Airflow).
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and teamwork abilities to work in cross-functional teams.

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