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Engineering-Enterprise Data Platforms

Senior Data Engineer

Jaipur, Rajasthan, India

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hirly's read of this role

Role family
Data & ML
Seniority
Senior
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Location : Jaipur / Indore

Experience: 3–6 years

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.

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.

Good 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, not just
  • implement it.
  • * Clear and structured communication.
  • * Comfortable working independently and learning new technologies.
Original posting on Engineering-Enterprise Data Platforms's site ↗

Listed on hirly, a job board. hirly is not the employer: Engineering-Enterprise Data Platforms is hiring for this role.

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