Exp: 4.5+ yrs

nAzure DE

nRoles & Responsibilities

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Design, build, and maintain scalable data pipelines and up-to-date data platforms on Hadoop or cloud environments.
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Develop and optimize end-to-end ETL/ELT workflows for structured and unstructured data using up-to-date data engineering frameworks.
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Architect robust data flows that improve scalability, reliability, and operational efficiency.
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Drive DataOps best practices by automating data provisioning, testing, monitoring, and deployment processes.
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Establish data governance standards, CI/CD pipelines, automated testing, and monitoring for production-grade data solutions.
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Collaborate with Enterprise Architecture and cross-functional teams to evaluate and implement the right data technologies and platform strategies.




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Build and maintain dimensional data models to support analytics and business intelligence initiatives.
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Develop highly optimized SQL queries to process and analyze large-scale datasets.
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Work with Python/PySpark and distributed computing technologies to process high-volume data efficiently.
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Lead data engineering work streams with a product mindset, ensuring high-quality and scalable data solutions.
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Continuously improve platform performance, deployment frequency, and data reliability through engineering best practices.
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📌 Azure Data Engineer Bengaluru (India)
🏢 Recro
📍 India