Job
Description
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. Show more Show less
