Job Description

We are looking for an experienced Manager - Data Engineering with 8+ years of experience in building and managing data engineering solutions in an on-premise setting. The ideal candidate should have strong hands-on expertise in Python, Apache Spark, SQL, and Apache Airflow, along with proven experience in leading data engineering teams and delivering scalable data pipelines.

Key Responsibilities
Lead and manage a team of Data Engineers and provide technical guidance and mentorship.
Design, develop, and optimize scalable data pipelines in an on-premise environment.
Build robust ETL/ELT workflows using Python, Spark, SQL, and Airflow.
Design and manage complex Apache Airflow DAGs for data pipeline orchestration.
Develop and optimize Spark-based data processing solutions for large datasets.
Write complex and optimized SQL queries for data extraction, transformation, and analysis.
Troubleshoot pipeline failures, performance issues, and data quality challenges.
Work closely with architects, business stakeholders,



and cross-functional teams to understand requirements and deliver solutions.
Conduct code reviews and ensure adherence to engineering and development best practices.
Drive technical design, estimation, planning, and end-to-end project delivery.
Monitor team performance, project timelines, risks, and dependencies.
Mentor engineers and contribute to building a robust data engineering practice.

Qualifications
8+ years of overall experience in Data Engineering.
Solid hands-on experience with Python.
Strong experience with Apache Spark / PySpark.
Advanced SQL skills, including complex joins, CTEs, window functions, subqueries, and query optimization.
Strong experience with Apache Airflow for workflow orchestration and scheduling.
Experience working with on-premise data environments.
Strong understanding of ETL/ELT processes and data pipeline architecture.
Experience handling large volumes of data and opt

📌 Manager Data Engineering Hyderabad
🏢 Blend360 India
📍 Hyderabad