- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.

- Build, optimize, and manage Tableau dashboards and data visualizations.

- Work with data architects and analysts to design efficient data models and datasets for reporting.

- Manage and optimize data workflows on AWS services (e.g., S3, Redshift, Lambda, Glue, Athena).

- Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

- Ensure data quality, governance, performance, and reliability across data systems.

- Troubleshoot production issues, perform root cause analysis, and implement robust fixes.

Required Skills & Qualifications :

- 7+ years of experience as a Data Engineer or in a similar role.

- Strong hands-on experience with Tableau (dashboarding, performance tuning, custom calculations).

- Proficiency in Python for data processing, automation, and scripting.

- Advanced SQL skills including query optimization, stored procedures, and data modeling.

- Experience working with AWS cloud services for data engineering.

- Strong understanding of data warehousing and ETL concepts.

- Ability to work in a hybrid environment and collaborate with global teams.

Nice-to-Have Skills :

- Experience with Snowflake / Redshift / BigQuery.

- Knowledge of CI/CD pipelines for data workflows.

- Familiarity with Airflow or other orchestration tools.

- Exposure to advanced Tableau features (Extensions, Prep, Server Admin)