Location : Jaipur

Experience: 3–6 years

Communication : Good

Role Overview

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 contemporary 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.

GenAI & AI-Assisted Development
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.

Positive to Have
DevOps knowledge: Git, CI/CD, Docker and deployment practices.
Exposure to NoSQL databases and their use cases.
Data Engineer/Analytics Certificate in any of cloud (AWS, Azure or GCP).

Candidate Profile
Strong problem-solving and analytical skills.
Hands-on, engineering-oriented mindset.
Ability to understand why a technical approach is selected,

📌 Senior Data Engineer Jaipur
🏢 Engineering-Enterprise Data Platforms
📍 Jaipur