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Senior Data Engineer (Azure) - Contract

Clanx
Remote Remote - Unknown
$1,800k - $2,400k +1173% vs avg
Posted Feb 26, 2026
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About This Role

A fast-growing MNC seeks a Senior Data Engineer to design and build scalable data pipelines and infrastructure that fuel AI and analytics

Requirements

  • Must have 5+ years of experience with Data Engineering using Azure

  • Should be a blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams

  • Should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills.

  • They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

  • Must have experience with Azure DevOps, Apache Spark, Python, SQL proficiency, Azure Databricks knowledge and Big data technologies

Responsibilities

  • Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.

  • Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes

  • Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations

  • Use Azure Data Factory and Databricks to assemble large, complex data sets

  • Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.

  • Ensure data security and compliance

  • Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Job Details

Contract - 12 months, Remote

Salary: INR 1.5 to 2 LPM

Interview process

• Intro Call

• Technical Project

• Team Interview

• Final Decision

Important Note
ClanX is a recruitment partner, helping Re‑Twin Energy hire the Senior Data Engineer role.

Highlights

Drive AI‑powered energy optimization for climate impact at a mission‑driven startup in a dynamic Senior Data Engineer role.

Originally posted on Himalayas

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