Data Engineer with Power BI

Infosys; Maharashtra; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Infosys is seeking an experienced Data Engineer specialized in Power BI data modeling and DAX to design and implement scalable ELT pipelines. The role requires hands-on work with SQL, dbt, AWS data services (Athena, S3, Lambda), and a strong focus on data quality and performance.

You will collaborate with Product Owners and Tech Leads to deliver analytics-ready data products aligned with business objectives.

Qualifications

• 6–8 years of data engineering experience.

Responsibilities

• Design and build robust data transformation pipelines from raw to curated (gold) layers.
• Ensure data quality, consistency and reliability across analytics use cases.
• Implement automated, secure, and high‑performing data pipelines with data validation practices.
• Collaborate with Product Owners and Tech Leads to deliver analytics‑ready data products.

Skills

SQL

dbt

AWS

Power BI

DAX

ELT pipelines

Data modeling

CI/CD

Tools

dbt

Job description

Data Engineer Power BI Data Modeling DAX

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.