- Candidates should have strong experience in any one of the following combinations:

Key Responsibilities:

- Develop and maintain scalable ETL/ELT pipelines for data extraction, transformation, and loading.

- Write and optimize complex SQL queries for data processing and validation.

- Develop data transformation workflows using Python/PySpark or Teradata.

- Perform data cleansing, validation, reconciliation, and quality checks.

- Troubleshoot ETL failures and resolve data-related issues.

- Optimize queries, jobs, and data pipelines for performance.

- Work with business and technical teams to understand data requirements.

- Maintain technical documentation for ETL processes and data workflows.

- Support production deployments and resolve operational issues.

Required Skills:

- Strong SQL knowledge is mandatory.

- Hands-on experience in Python/PySpark OR Teradata.

- Good understanding of ETL concepts and data warehousing.

- Experience with large-volume data processing.

- Knowledge of performance tuning and troubleshooting.

- Good communication and problem-solving skills.