Job Description: Lead Data Engineer Summary

We are looking for an experienced Lead Data Engineer with 7–10 years of hands-on
experience to design, build, and maintain scalable data pipelines and processing
systems in an on-premises Big Data setting. This is a technical leadership
role: beyond strong individual contribution, the ideal candidate will own
architecture and design decisions, set technical direction, and mentor and
support other developers on the team. The role works closely with
cross-functional teams to deliver reliable, high-quality data solutions that
support business and analytics needs.

Roles & Responsibilities
* Lead the design, development, and maintenance of robust, scalable data
pipelines for ingestion, transformation, and processing of large datasets in
an on-premises environment.
* Own architectural and design decisions for data solutions, evaluating
trade-offs and defining technical standards for the team.
* Mentor, guide, and support other data engineers through code reviews, design
reviews, technical coaching, and hands-on problem-solving.




* Build and optimize data workflows using Python, Spark, and the Hadoop
ecosystem.
* Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to
manage and query large-scale data.
* Manage and optimize batch scheduling and job orchestration using enterprise
schedulers such as CA7 or Control-M.
* Ensure data quality, integrity, and performance across data platforms.
* Collaborate with data analysts, data scientists, and business stakeholders to
translate data requirements into sound technical designs.
* Troubleshoot and resolve complex issues in data pipelines and production
environments, acting as an escalation point for the team.
* Champion best practices for coding standards, version control, testing, and
documentation.
* Stay current with emerging technologies, particularly AI/ML capabilities, and
identify opportunities to apply them to data engineering workflows.

Technical Skills

📌 Big Data Engineer (Pune)
🏢 EXL
📍 Pune