Software Engineering Manager

Job 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