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Mid-level data engineer in Bangalore with common Microsoft/Azure skills drives high candidate competition.
Requirement for Microsoft Fabric/Databricks and consulting experience limits cross-industry transferability moderately.
Multiple mandatory Microsoft Fabric, Azure, Databricks, SQL and Python skills increase screening strictness.
Design, build, and optimize data solutions for mid-market and enterprise clients using primarily Microsoft Azure stack technologies.
Transform raw data into analytics-ready assets supporting dashboards, advanced analytics, and AI use cases with focus on ETL/ELT pipelines and data modeling.
Develop and maintain data quality checks, observability metrics, and contribute to CI/CD workflows; engage with clients for requirements and technical communication.
Bachelor's degree mandatory.
Minimum 3 years of experience delivering production data solutions, preferably in consulting or client-facing roles.
Strong proficiency in SQL, Python (including PySpark), and hands-on experience with Microsoft data services (Azure Data Factory, Synapse, or Fabric Data Pipelines).
Experience with Azure fundamentals, Microsoft Fabric components, and familiarity with Databricks or similar lakehouse technologies.
Experienced in consulting or client-facing data engineering roles, able to translate technical concepts for non-technical stakeholders.
Strong technical background in Microsoft Azure data ecosystem with exposure to DevOps practices and test automation frameworks.
Comfortable integrating complex SaaS/ERP data sources and contributing to internal knowledge sharing and reusable assets development.