Senior Data Engineer

Thepsi • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • SQL • ETL/ELT • 1 day ago
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Salary
≈ $19k – $38k per year (Estimated)
Location
In office (Jaipur)
Seniority
Senior · 3+ years exp

First seen by Alion on Oct 21, 2026.

Overview
Company
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Profile match

Thepsi

Pratham Software (PSI) is a global IT company that helps clients propel through digital transformation across businesses, offering solutions in Product Engineering, BPM, Data analytics, BI, etc.
thepsi.com • Jaipur • Cardiff • Cupertino • Victoria • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • Custom Software Development • 11-50 employees • Est. 2000
Tech stack of Thepsi

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.


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.


Requirements:

  • 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.
  • 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 and 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 the clouds (AWS, Azure, or GCP).

Skills

Apache Spark, Databricks, PySpark, SQL, Spark

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