Back
Mid-level, popular Power BI/data engineer role with broad cloud tooling and metro location increases competition.
Skills are broadly transferable across industries but require specific Power BI and Azure experience.
Explicit 5–8 year requirement plus mandatory Power BI, Azure, Databricks, SQL, and Python makes shortlisting strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain interactive Power BI dashboards, reports, semantic models, and enterprise reporting solutions.
Build and optimize scalable ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark/SQL), and Python automation scripts.
Collaborate with stakeholders and data teams to implement cloud data warehousing solutions and manage Power BI Service deployment pipelines and security (RLS).
5–8 years of experience in Power BI, Data Analytics, and Data Engineering.
Proficiency in Power BI development including DAX, Power Query, and report optimization.
Strong skills in Advanced SQL and Python programming for ETL and analytics.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
Experienced in cloud platforms especially Microsoft Azure ecosystem (Azure Data Factory, Databricks, Synapse, Microsoft Fabric).
Skilled in data modeling (Star Schema, Snowflake Schema), Medallion Architecture, and dimensional data warehousing.
Capable of implementing CI/CD pipelines, version control, and data governance/security best practices in enterprise BI environment.