Lead Data Science Engineer - ETL Tools (8-11 yrs)

Key Responsibilities :

- Lead and mentor a high-performing data pod composed of data engineers, data analysts, and BI developers.

- Design, implement, and maintain ETL pipelines and data workflows to support real-time and batch processing.

- Architect and optimize data warehouses for scale, performance, and security.

- Perform advanced data analysis and modeling to extract insights and support business decisions.

- Lead data science initiatives including predictive modeling, NLP, and statistical analysis.

- Manage and tune relational and non-relational databases (SQL, NoSQL) for availability and performance.

- Develop Power BI dashboards and reports for stakeholders across departments.

- Ensure data quality, integrity, and compliance with data governance and security standards.

- Work with cross-functional teams (product, marketing, ops) to turn data into strategy.

Qualifications :

Required :

- PhD in Data Science, Computer Science, Engineering, Mathematics, or related field.

- 7+ years of hands-on experience across data engineering, data science, analysis, and database administration.

- Strong experience with ETL tools (e.g., Airflow, Talend, SSIS) and data warehouses (e.g., Snowflake, Redshift, BigQuery).

- Proficient in SQL, Python, and Power BI.

- Familiarity with modern cloud data platforms (AWS/GCP/Azure).

- Strong understanding of data modeling, data governance, and MLOps practices.

- Exceptional ability to translate business needs into scalable data solutions.