Description

Key Skills: Pyspark, People Management, Databricks, SQL, Python, Data Engineer, Data quality, AWS, ETL

Roles and Responsibilities:

• Lead and manage data engineering teams, balancing technical delivery with people leadership and execution.
• Own data quality practices across pipelines, including profiling, validation, and remediation workflows.
• Develop and optimize data processing using Python and PySpark on Databricks.
• Write and maintain advanced SQL queries across multiple databases to support analytics and data products.
• Ensure data pipelines follow ETL/ELT standards and support downstream analytics ecosystems.

Skills Required:

• 11 - 13 years of experience in data management, data analysis, data profiling, and statistical techniques; including 5 years managing data engineering teams
• Strong experience in Python and PySpark.
• Hands-on experience with Databricks.
• Strong knowledge of SQL and complex query development.
• Experience in Data Engineering and ETL/ELT.
• Strong understanding of Data Quality, Data Profiling, and Data Validation.
• Experience managing and mentoring data engineering teams.
• Good understanding of data pipelines and analytics data platforms.
• Strong problem-solving, communication, and stakeholder management skills.

Good to Have

• Experience with AWS cloud services.
• Knowledge of data governance and data management practices.
• Experience with statistical and data analysis techniques.

Education: Any Graduation

Key Skills

Education

Any Graduate