- Design, develop, and maintain efficient ETL workflows.

- Architect and optimize data warehouse (DWH) solutions for performance, scalability, and reliability.

- Write complex SQL queries and stored procedures for data extraction, transformation, and loading.

- Collaborate with data analysts, BI developers, and business stakeholders to understand data requirements.

- Lead and mentor a team of ETL developers, ensuring best practices and code quality.

- Evaluate and onboard new ETL tools and technologies as needed.

- Implement data governance, quality checks, and monitoring mechanisms.

Required Skills :

- 8 to 12 years of hands-on experience in ETL development using at least one prominent ETL tool.

- Strong proficiency in SQL and relational databases (e.g., Oracle, SQL Server, PostgreSQL).

- Solid understanding of data warehousing concepts, dimensional modeling, and performance tuning.

- Excellent problem-solving and communication skills.

Nice to Have :

- Experience with DBT (Data Build Tool) for modern data transformation workflows.

- Knowledge of Python or other scripting languages for automation.

- Snowflake hands on.