Senior Azure Data Engineer
Fractal · Bengaluru
- Experience6–9 yrs
- SalaryNot disclosed
- Work modeunknown
- Levelsenior
- Posted12 Sept 2026
About Fractal
Fractal is hiring in Bengaluru in technology software. This role looks for around 6+ years of experience.
The role
A senior Azure Data Engineer role at a business consulting and services company, requiring 6-9 years of experience, to design, develop, and maintain data infrastructure and data pipelines for ingesting data and ensuring data quality. You will implement data models and database schemas, partner with cross-functional teams to identify data requirements, and manage distributed systems and data storage solutions using Azure, Azure Data Factory (ADF), ADLS2, Databricks, Python, PySpark, DevOps, and P&G AI factory/Ultimate/Pygentic frameworks. Locations across India include Pune, Mumbai, Gurgaon, Noida, Chennai, Coimbatore, and Bangalore; work mode is not specified.
Full job description
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Role- Azure Data Engineer
Locations- Pune, Mumbai, Gurgaon, Noida, Chennai, Coimbatore, Bangalore
Experience- 6-9years
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
Responsibilities
Designing, developing, and maintaining data infrastructure and systems. Design, develop, and maintain our data infrastructure and systems Develop and maintain data pipelines to ingest data, ensure data quality and integrity Design and implement data models and database schemas to support business objectives Develop and maintain data pipelines to support data processing and analysis Partner with cross-functional teams to identify and prioritize data requirements and use cases Manage and optimize distributed systems and data storage solutions Develop and maintain best practices and standards for data engineering within the organization
Mandatory
Azure, ADF, ADLS2, Databricks, Python, PySpark, DevOps, P&G frameworks like AI factory, Ultimate, Pygentic
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Hiring Related Queries
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
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