Senior Teradata Data Engineer

Responsibilities

• Design, develop, and maintain enterprise-scale ETL/ELT solutions on the Teradata Enterprise Data Warehouse (EDW) platform.
• Develop and optimize complex Teradata SQL, BTEQ, and shell-script automation for large-scale batch processing.
• Build and support enterprise data ingestion, transformation, and data integration frameworks.
• Perform SQL performance tuning, workload optimization, and production support for mission-critical data platforms.
• Collaborate with business and technical stakeholders to deliver enterprise data warehouse solutions.
• Support enterprise data modernization, automation, and batch scheduling using Control-M and related tools.

Requirements

• Strong experience in Enterprise Data Warehouse (EDW), ETL/ELT, Data Engineering, and enterprise data platform technologies.
• Strong hands-on experience with Teradata SQL, BTEQ, FastLoad, MultiLoad, TPump, and TPT.
• Proven experience developing enterprise ETL/ELT solutions using Informatica PowerCenter and shell scripting.
• Strong expertise in SQL performance tuning, workload management, and large-volume data processing.
• Experience with Control-M or equivalent enterprise scheduling tools.
• Working knowledge of Hadoop technologies (Hive, Spark, Kafka) and enterprise data integration.
• Experience supporting banking, financial services, or other large enterprise data warehouse environments.
• Strong analytical, stakeholder management, and production support experience.
• Preferred
• Experience with Python, Git, Linux, Agile/Scrum, and CI/CD practices.
• Exposure to enterprise cloud data platforms or data modernization initiatives.
• Experience leading technical teams and mentoring engineers.

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