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Mid-level Bangalore data engineer with popular title, metro location, and generalist skillset increases competition.
SQL, Python and Azure skills are transferable, though pharma domain adds moderate specificity.
Explicit 5–8 years and required production-grade data pipeline skills increase shortlist strictness to medium.
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Shape, develop, and scale Azure-based data platforms and solutions to transform engineering data use across pharma projects.
Design, develop, and maintain data pipelines, ETL/ELT processes, and scalable, secure data architectures using Microsoft Fabric and Azure services.
Lead best practices for data quality, performance, observability, governance, and implement DevOps CI/CD practices for data solutions.
5+ years of experience in data engineering.
Bachelor’s or master’s degree in a relevant field.
Strong experience with SQL and Python; experience with ETL/ELT processes mandatory.
Experience with Microsoft Azure services, especially Azure Synapse Analytics and/or Microsoft Fabric; Azure DevOps knowledge considered a plus.
Experienced in designing and operating enterprise-scale data pipelines and Lakehouse/Warehouse data models.
Able to take technical ownership, make design decisions, and mentor junior engineers while balancing hands-on development with stakeholder engagement.
Knowledgeable in data governance, cataloguing, lineage, quality frameworks, and operational support for critical data products.