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Strong employer brand, metro location, mid-level generalist title, and common tech stack increase competition.
Core data engineering skills (PySpark, Databricks, Power BI) are broadly transferable across industries.
Explicit years requirement and mandatory Databricks, PySpark, Power BI, and Azure skills make shortlisting strict.
Develop and maintain ETL/ELT data pipelines using Databricks and PySpark for large-scale data processing.
Design and build data models, automated CI/CD pipelines, and reusable data engineering frameworks to ensure data quality, reliability, and performance.
Create and integrate Power BI reports and dashboards using DAX, Power Query, and Azure cloud data engineering tools to support analytics and business applications.
2 to 5 years of relevant work experience in data engineering.
Bachelor’s or Master’s degree in Electronics, Electrical Engineering, or Computer Science Engineering.
Proficiency in Python, PySpark, and Microsoft Power BI including DAX and Power Query.
Experience with Databricks and familiarity with Azure Cloud Data Engineering tools.
Experienced in end-to-end data pipeline development and automation within cloud environments, particularly using Databricks and Azure services.
Strong skills in building scalable data models and integrating data visualization tools to enhance business decision-making.
Comfortable operating in international, multi-cultural teams and collaborating with reliability and analytics groups.