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Popular mid-level analytics engineer role in Bengaluru with broad BI, Databricks, and Power BI skillset.
Skills (SQL, Python, Power BI, Databricks) are broadly transferable across industries.
Explicit 2–4 years plus required Power BI, SQL, Python, Databricks and cloud data skills increase filter rigidity.
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Design, develop, test, deploy, and support end-to-end enterprise analytics solutions including ETL/ELT pipelines, data models, semantic models, Power BI dashboards, and reports.
Build and maintain scalable data pipelines using SQL, Python, Databricks, cloud platforms, and relational/analytical databases to create reusable reporting-ready datasets.
Lead troubleshooting, documentation, deployment support, and guide junior analysts on technical standards and project context for Data & Analytics solutions.
2–4 years of experience in data engineering, analytics engineering, BI, Power BI development, or related software/data platform delivery.
Bachelor’s degree in Engineering, Information Systems, Data Analytics, Business Analytics, or related field.
Hands-on experience with SQL, Python, ETL/ELT development, data modeling, Power BI report/dashboard development including DAX.
Experience working with cloud data services like Azure Data Factory or AWS equivalents, Databricks, Snowflake, Redshift, or similar analytical databases.
Experienced working independently with limited supervision in a global/multi-timezone environment with strong cross-team collaboration skills.
Skilled in translating complex business requirements into technical analytics deliverables with strong documentation and troubleshooting abilities.
Comfortable contributing to knowledge sharing, guiding junior team members, and following structured CI/CD and sprint delivery processes in analytics projects.