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Mid-level popular Data Engineer role in a metro market increases applicant competition significantly.
Core data engineering skills are transferable, though Azure Fabric specialization raises domain specificity.
Explicit 3+ years plus mandatory Azure/ADF/Fabric/Python/SQL tech stack creates strict filtering.
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Design, implement, and continuously improve Azure cloud-based data platform architecture including Azure Data Factory, Data Lake Storage, and Microsoft Fabric.
Build and maintain scalable ELT/ETL pipelines from multiple source systems, ensuring data quality and pipeline reliability through automation and testing.
Develop data lakehouse solutions using medallion architecture, collaborate with offshore teams, and support BI reporting and analytics needs.
Minimum 3 years of professional experience as a Data Engineer or in relevant roles.
Proficiency with Microsoft Fabric (Lakehouse, Warehouse), Azure Data Factory, and Azure Data Lake Storage Gen2.
Strong skills in Python, advanced SQL (queries, tuning, transformations), and ETL/ELT pipeline development.
Employment location: Trivandrum or Kochi; Permanent position; Notice period not explicitly mentioned.
Experienced in developing and maintaining cloud-based data platforms using Azure and Microsoft Fabric technologies.
Capable of implementing data governance, metadata management, and data quality frameworks to ensure data trustworthiness.
Comfortable collaborating with offshore teams and providing technical guidance to ensure quality and alignment with business analytics requirements.