Manager - Data Engineering

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 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 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. M