This role is ideal for a seasoned Data Engineering professional who can combine strong technical expertise with leadership to drive enterprise-wide data transformation initiatives.

Senior Data Engineer
Experience: 10+ Years
Location: Remote (Pune)

Job Summary
We are looking for an experienced Senior Data Engineer to lead and drive enterprise-scale data engineering initiatives. The ideal candidate will have strong expertise in designing and implementing modern data platforms, data warehouses, and data lakes using AWS technologies. This role requires hands-on technical expertise along with leadership capabilities to manage end-to-end data programs, ensure data governance, and collaborate with cross-functional teams to deliver scalable and reliable data solutions.
Key Responsibilities
Lead the design, development, and implementation of enterprise data engineering and data management projects.
Design and build scalable data warehouses and data lake solutions on AWS.
Develop and optimize ETL/ELT pipelines using PySpark, Apache Airflow, and SQL.




Implement and maintain metadata management and data governance frameworks to ensure data quality, security, and compliance.
Build and optimize big data processing pipelines for high-volume and complex datasets.
Collaborate with business stakeholders, architects, and engineering teams to understand data requirements and deliver effective solutions.
Drive the overall data program, ensuring timely delivery, technical excellence, and adherence to best practices.
Mentor junior team members and provide technical leadership across the data engineering team.
Required Skills
10+ years of experience in Data Engineering and Data Management.
Strong expertise in Data Warehousing and Data Lake architecture.
Hands-on experience with AWS cloud services.
Strong experience with Apache Airflow, PySpark, and SQL.
Experience with Metadata Management tools and practices.
Robust background in Big Data technologies and enterprise-scale implementations.

📌 Senior Data Engineer (Pune)
🏢 IntraEdge
📍 Pune