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Sr Data Engineer

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Onsite

Sr Data Engineer

Pratham Software

Sr Data Engineer

Skills

Google Cloud PlatformSQL QueriesDockerDatabricksData AnalysisAIAWSPySparkAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Jaipur, Rajasthan, India

Work mode:

Onsite

Published on:

23 September 2026

What they need


Job Summary

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.

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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