Role Overview -

Location : Jaipur

Experience: 3–6 years

We are looking for a hands-on Data Engineer with robust 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 up-to-date 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.
Robust data-engineering fundamentals: ETL/ELT, data modelling, incremental processing and data quality .
Experience troubleshooting and optimizing large-scale data workloads.
LLMs, RAG, Embeddings, Agents and Agentic AI
AI-assisted coding tools such as Claude Code, Codex, Cursor, Antigravity or similar
Ability to review, validate and improve AI-generated code.

📌 Data Engineer Jaipur
🏢 Ultrabot Innovations
📍 Jaipur