The ideal candidate should have hands-on experience designing and optimizing enterprise data solutions, building scalable data pipelines, and working in Agile environments. Experience with Python for automation and data processing is an added advantage.

Key Responsibilities :

- Design, develop, and maintain enterprise data engineering solutions using Teradata.

- Build, optimize, and support scalable ETL/ELT pipelines for high-volume data processing.

- Develop and optimize complex SQL queries, stored procedures, and database objects within Teradata.

- Perform data modeling, data integration, and data quality validation.

- Analyze and optimize database performance, query execution, and workload management.

- Develop automation scripts using Python for data processing, reporting, and operational tasks.

- Collaborate with Business Analysts, Data Scientists, and Application teams to understand business requirements and deliver scalable data solutions.

- Participate in Agile ceremonies, code reviews, testing, and production deployments.

- Troubleshoot production issues and ensure high availability and reliability of data platforms.

- Maintain technical documentation and adhere to data governance, security, and development standards.

Required Skills :

- 8 to 12 years of experience in Data Engineering.

- Strong hands-on expertise in Teradata Database Development and Administration.

- Extensive experience in SQL, query optimization, performance tuning, and data modeling.

- Experience designing and maintaining ETL/ELT pipelines using enterprise data integration tools.

- Strong understanding of data warehousing concepts and large-scale data processing.

- Experience working in Agile/Scrum development environments.

- Excellent analytical, troubleshooting, and problem-solving skills.

- Strong communication and stakeholder management abilities.