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 environment. The ideal candidate should have robust 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 setting.
- 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 strong data engineering practice.

📌 Manager - Data Engineering (Hyderabad)
🏢 Blend360
📍 Hyderabad