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 seeking a to contribute to our next level of growth and expansion.

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 workplace
. The ideal candidate should have solid 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

📌 Manager - Data Engineering (On Premise) (Hyderabad)
🏢 Blend
📍 Hyderabad