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Mid-level data engineer role, common title, metro location, and 4–6 year bracket drive high competition.
Azure data engineering skills are widely transferable across industries, so background sensitivity is low.
Explicit 4–6 years requirement plus mandatory Azure Data Lake, Data Factory, Synapse, and PySpark skills raise strictness.
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Design and implement optimal data pipelines and orchestration within Azure environment including Azure Data Lake, Data Factory, and Synapse.
Develop, maintain, and ensure quality and effectiveness of data products and analytics models on Azure.
Participate in full SDLC covering user stories, requirements gathering, development, testing, troubleshooting, and performance optimization of data pipeline and reporting components.
4-6 years of experience as a Data Engineer or in related Azure data platform roles.
Mandatory technical skills: Azure Data Lake, Azure Data Factory, Pipelines, Azure Synapse, SQL, Python, and PySpark / Spark-SQL.
Preferred but not mandatory: Microsoft Certified Data Engineer certification.
Location: Pune, IN or Indore, MP, IN.
Experienced working within end-to-end data pipeline design and development in Azure cloud ecosystem with hands-on expertise on ADL and Synapse.
Capable of working through entire SDLC with good analytical skills and stakeholder communication for translating requirements into technical solutions.
Familiarity with additional Azure services like Cognitive Services, Log Analytics, Function Apps considered a plus but not mandatory.