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Tier-1 brand, popular Data Engineer title, mid-level experience and Bangalore location make competition high.
Core data engineering, Databricks, PySpark and Power BI skills are highly transferable across industries.
Explicit 3-6 years and mandatory Databricks, PySpark, Power BI and Azure increase screening strictness.
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Develop and maintain large-scale ETL/ELT data pipelines using Databricks and PySpark/Python for efficient data processing.
Design, develop, and deploy reusable data engineering frameworks, automation CI/CD pipelines, and Power BI dashboards including integration into applications.
Ensure data quality, reliability, and performance across pipelines and collaborate with reliability engineers for data visualization enhancements.
Bachelor’s or Master’s degree in Electronics, Electrical Engineering, or Computer Science Engineering.
2 to 5 years of experience in data engineering with hands-on experience building and maintaining data pipelines using Databricks.
Proficiency in Python, PySpark programming, and strong knowledge of Microsoft Power BI including DAX and Power Query.
Familiarity with Azure cloud data engineering tools.
Experienced in end-to-end data lifecycle management, including ETL/ELT workflows and automation in a cloud environment.
Skilled in both backend data engineering and frontend dashboard/report development with focus on operational performance and data reliability.
Comfortable working in international, diverse teams with technical discussions and cross-functional collaboration.