Data Engineer with Power BI

Responsibilities

Experienced Data Engineer (6–8 years) with strong expertise in SQL and data transformation frameworks, including hands-on experience in dbt for building scalable, modular, and maintainable ELT pipelines. Proven ability to design and develop robust data transformation pipelines across raw to curated (gold) layers, ensuring data quality, consistency, and reliability.

Hands-on experience with AWS data services (Athena, S3, Lambda) to build and manage scalable data workflows, along with a solid understanding of data modeling concepts to support downstream analytics use cases. Expected to have working knowledge of Power BI, specifically in semantic modeling (data models, DAX, dataset design) to enable effective consumption of curated data—this role is not reporting-focused.

Strong focus on building automated, secure, and high-performance pipelines with effective data validation practices. Experience in monitoring, troubleshooting, and optimizing data pipeline performance within Agile delivery environments, along with exposure to CI/CD practices for deploying data transformation workflows.

Collaborative team player with strong analytical and problem-solving skills, capable of working closely with Product Owners and Tech Leads to deliver high-quality, analytics-ready data products aligned with business objectives.

Technical and Professional Requirements

Data Engineer

Power BI

Data Modeling

DAX

Preferred Skills

• Power BI
• Databricks

Educational Requirements

Bachelor of Engineering,BBA,BCom