Data Engineer with Power BI - Senior engineer (Level 1)
Arrow Ec5–8 yrsPuneOn-siteDirect career pageEst. 12–20 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain enterprise Power BI dashboards, reports, and semantic models with performance optimization and governance.
- Build and manage scalable ETL/ELT data pipelines using AWS Glue, EMR, Lambda, and integrate multiple enterprise data systems including cloud platforms like AWS and Databricks.
- Develop complex SQL queries, automate workflows with Python, maintain CI/CD and deployment pipelines, and ensure high availability and troubleshooting of analytics solutions.
Minimum Requirements
- 5–8 years of experience in Power BI, Data Analytics, and Data Engineering.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
- Proficient in Power BI (DAX, Power Query, RLS, incremental refresh), advanced SQL, Python programming, and AWS data services including Glue, Redshift, S3, Lambda.
- Experience with cloud data warehousing, dimensional data modeling (Star/Snowflake schemas), and CI/CD pipeline implementation.
Ideal Candidate Profile
- Deep expertise in Power BI enterprise deployments including governance and performance tuning within a cloud ecosystem, preferably AWS.
- Strong skills in building scalable ETL pipelines, data lake and Lakehouse architectures, integrating diverse data sources, and managing workflows in a production environment.
- Experience operating in Agile teams with knowledge of version control, automated deployment, and cross-functional collaboration with business stakeholders.