Job Summary



We are looking for a Senior Data Engineer to lead the design, development, and optimization of scalable data platforms and pipelines. This role is hands-on and requires strong experience with Databricks, Python (Spark), SQL, and cloud data services, primarily on AWS. The ideal candidate can translate business requirements into reliable data solutions, guide technical decisions, and ensure data systems are performant, secure, and production-ready.



Key Responsibilities

Design, build, and maintain enterprise-grade ETL/ELT pipelines using Databricks, Python (PySpark), and SQL.

Lead the architecture and optimization of data lakes and data warehouse solutions using Delta Lake and cloud storage.

Integrate data from APIs, cloud storage, third-party systems, and structured and semi-structured sources.

Own performance tuning, cost optimization, and reliability of data pipelines and Databricks workloads.

Define and enfor...