Lead Data Engineer

7-11 years of Data Engineering experience with strong expertise in building and managing cloud-native data platforms.

Hands-on expertise in Python, PySpark, and SQL for developing complex ETL/ELT pipelines and large-scale data processing solutions.

Strong experience with Cloud Platforms (AWS, Azure, or GCP), including data warehousing, scalability, performance, and cost optimization.

Deep understanding of Data Warehousing, Data Modeling, Distributed Systems, and modern data architecture best practices.

Experience with Apache Airflow, in-house/custom data tools, BI tools, and Agile/DevOps.

Proven technical leadership experience, including mentoring engineers, driving data governance and automation initiatives, stakeholder management, and collaborating with cross-functional teams.