Data Engineer

Coforge • IT Consulting & Digital Transformation • Custom Software Development • SQL • 1 day ago
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Salary
≈ $21k – $42k per year (Estimated)
Location
In office (Pune)
Experience
6+ years exp

First seen by Alion on Oct 21, 2026.

Overview
Company
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Coforge

Coforge is a global digital services and information technology solutions company headquartered in Noida, Uttar Pradesh, India. The firm provides advanced capabilities in artificial intelligence engineering, cloud modernization, data analytics, and digital process automation, primarily serving the financial services, insurance, and travel sectors. Leveraging deep domain expertise and an extensive international delivery network, it helps enterprise clients modernize core systems and accelerate large-scale digital transformation.
coforgetech.com • HQ: Noida, India • Information Technology • Software • Custom Software Development • IT Consulting & Digital Transformation • Est. 2004
Tech stack of Coforge

We are seeking a skilled Data Engineer with strong expertise in Snowflake and dbt (Data Build Tool) to design, build, and optimise scalable data pipelines. The role involves working on modern data platforms, enabling analytics, reporting, and advanced data transformations across cloud or hybrid environments.


Responsibilities:

  • Develop and maintain scalable data pipelines and transformation workflows using Snowflake and dbt.
  • Build, optimise, and maintain dbt models, macros, tests, snapshots, and documentation.
  • Write complex SQL queries for data transformation, validation, and analysis.
  • Work with GitHub for source control, branching, pull requests, and code reviews.
  • Develop and maintain GitHub Actions/CI-CD workflows for automated testing and deployment of data projects.
  • Integrate data from REST APIs and external data sources, including authentication, pagination, error handling, and JSON processing.
  • Collaborate with engineering, analytics, and business teams to understand data requirements and deliver reliable datasets.
  • Implement data-quality checks and monitoring to ensure accuracy and consistency.
  • Troubleshoot pipeline, transformation, and deployment issues.
  • Contribute to improving data engineering standards, automation, documentation, and development practices.

Skills

Data Build Tool, SQL, Snowflake, dbt

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