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 AzureShould be a blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teamsShould 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 purposesUtilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operationsUse Azure Data Factory and Databricks to assemble large, complex data setsImplementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Ensure data security and complianceCollaborate with data engineers, and other stakeholders to understand

requirements

and translate them into scalable and reliable data platform architecturesJob Details

Location

: Remote, Contract - 12 monthsSalary: INR

1. 5 to 2 LPMInterview process
• Intro Call
• Technical Project
• Team Interview
• Final DecisionImportant NoteClanX is a recruitment partner, helping Re‑Twin Energy hire the Senior Data Engineer role. HighlightsDrive AI‑powered energy optimization for climate impact at a mission‑driven startup in a dynamic Senior Data Engineer role.