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Mid-level Data Engineer title but niche Azure/Fabric specialization yields medium competition.
Strong Microsoft Fabric/ADF and Dynamics specialization raises domain specificity but skills remain moderately transferable.
Mandatory 4–6 years, required Azure certifications and strict onsite/delivery standards enforce high shortlisting strictness.
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Design, build, and maintain scalable data pipelines using Microsoft Azure Data Factory (ADF) and Dataflows in a fully onsite Kochi role.
Develop automated data migration solutions and embed intelligent validation agents within pipelines, enabling subscription-based service models for Dynamics 365, Dataverse, and Microsoft Fabric.
Ensure all products comply with ISO/IEC 25010 standards, data governance (Microsoft Purview), and strict 90-day delivery cycles under the Agentic Development Lifecycle (AiDLC).
4 to 6 years of professional data engineering experience focused on cloud data pipelines using ADF/Dataflows.
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related technical discipline.
Current or committed achievement of DP-203 or DP-600 plus PL-300 certifications by December 2026.
Fully onsite work location in Kochi.
Experienced with Azure Data Factory, Microsoft Fabric, Dataverse, and Dynamics 365 data migration APIs with a product-centric engineering mindset.
Capable of managing rapid engineering delivery cycles (~90 days) with strict quality, security, and governance standards.
Comfortable operating with embedded AI agents for data validation and automated pipeline orchestration in enterprise-scale environments.