About this role
5-Senior Data Engineer
Location : Jaipur Indore
Experience: 3–6 years
22 lpa
Communication : Good
Role Overview
We are looking for a hands-on Data Engineer with strong expertise in SQL, PySpark, Apache Spark and Databricks, along with awareness of GenAI and AI-assisted coding tools.
The candidate should be capable of building scalable data pipelines, troubleshooting performance issues, and optimizing data processing for both performance and cost.
Key Responsibilities
Design, develop and maintain scalable data pipelines using SQL, PySpark, Spark and Databricks.
Build reliable batch/incremental data-processing solutions and data products.
Troubleshoot and optimize Spark workloads for performance, scalability and cost efficiency.
Work with Delta Lake and modern data-platform architecture.
Use AI coding agents to accelerate development, debugging, testing and documentation.
Collaborate with Application teams, Consultants and Managers.
Required Skills
Expert SQL and PySpark development.
Strong understanding of Apache Spark internals — distributed processing, partitioning, shuffle, data skew and execution model.
Strong Databricks experience with Delta Lake, optimization, compute management and cost optimization.
Strong data-engineering fundamentals: ETL/ELT, data modelling, incremental processing and data quality.
Experience troubleshooting and optimizing large-scale data workloads.
Pay: ₹2,200,000.00 per year
Work Location: In person