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Metro Bangalore, popular mid-level Data Engineer title and 4-8 years experience increase candidate competition.
Azure/Databricks-specific skills raise domain specificity, moderately reducing cross-industry transferability.
Explicit 4-8 years and mandatory Databricks/ADF/PySpark skills make shortlisting highly strict.
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Design, build, and optimize scalable data pipelines and ETL/ELT workflows using Databricks, Azure Data Factory, Microsoft Fabric, PySpark, and SQL.
Architect and implement data lakehouse and data warehouse solutions leveraging Microsoft Fabric and Azure analytics platforms.
Collaborate with data scientists, analysts, and engineering teams to ensure secure, real-time, and high-quality data operations using CI/CD and infrastructure-as-code practices.
4-8 years of experience in data engineering with strong knowledge of cloud data platforms.
Proficiency in PySpark, Azure Data Factory, Databricks, Microsoft Fabric, and SQL development including complex queries.
Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field.
Work Experience Required: 4-8 years
Experienced with modern unified analytics platforms, especially Microsoft Fabric or comparable.
Strong understanding of data warehousing, data lakehouse architecture, and data modeling principles.
Skilled in implementing CI/CD pipelines and deployment automation in cloud data environments.