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.
Positive 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

📌 Software Engineering Manager_102354 (Hyderabad)
🏢 MyCareernet
📍 Hyderabad