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Mid-level Data Engineer in Bangalore with common title but Azure/Databricks specialization yields moderate competition.
Core data engineering skills transfer across industries, though Azure/Databricks/Fabric specialization moderately limits portability.
Explicit 4-8 years plus mandatory Databricks, ADF, PySpark and cloud platform requirements increase strictness.
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Design, build, and optimize scalable data pipelines and workflows using Databricks, Azure Data Factory, Microsoft Fabric, and PySpark.
Architect and implement data Lakehouse and data warehouse solutions leveraging modern cloud platforms like Microsoft Fabric and Azure analytics services.
Collaborate with data scientists and business analysts to ensure efficient data delivery, model readiness, and maintain data governance, security, and compliance.
4-8 years of experience in data engineering with strong knowledge of cloud data platforms.
Proficiency in PySpark, Azure Data Factory, Databricks, SQL, and experience with Microsoft Fabric or similar unified analytics platforms.
Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or related field.
Primary location: Bengaluru, Karnataka, India; Shift 1 (India)
Experienced in designing and operating modern, scalable data engineering solutions on cloud and cloud-native platforms, preferably Microsoft Azure ecosystem.
Strong background in data warehousing, data modeling, and automation using CI/CD and infrastructure-as-code practices.
Able to bridge technical and business teams effectively to deliver real-time, secure, and reliable data operations at scale.