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Remote mid-level data engineer with common Azure/Python/SQL skills attracts high applicant density.
Core data engineering skills transfer across industries, though Azure Fabric specificity moderately limits portability.
Explicit 3–6 years plus mandatory Azure Fabric/ADF/ADLS and Python/SQL skills yields high strictness.
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Design, implement, and improve end-to-end data platform architecture on Azure cloud (Azure Data Factory, Azure Data Lake Storage, Microsoft Fabric).
Build and maintain scalable ELT/ETL pipelines for multiple source systems ensuring data quality and reliability.
Collaborate with offshore teams, support BI reporting needs, and enforce data governance and security practices.
3-6 years of relevant work experience in data engineering or related roles.
Proficiency in Microsoft Fabric (Lakehouse, Warehouse, Dataflows), Azure Data Factory, Azure Data Lake Storage Gen2.
Strong skills in Python, advanced SQL, ETL/ELT pipeline development, and data modeling/schema design.
Work Experience Required: 3-6 years; Location: 100% Remote; Contract Duration: 7 months; Working Hours: 7 AM to 4 PM IST.
Experienced in building and maintaining cloud-based data platforms, specifically on Microsoft Azure ecosystem.
Capable of implementing medallion architecture in data lakehouses with progressive data refinement.
Able to lead technical collaboration with offshore teams and support enterprise BI and data governance initiatives.