Senior Azure Data Engineer
Read straight from Fractal's careers page, verified 2d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
Location8 Locations
Also inPune; Mumbai; Gurgaon; Noida; Chennai; Coimbatore; Bangalore
Work modeon-site
Typefull-time
SenioritySenior
Experience6–9 yrs
Company size1,001–5,000 people
PostedJun 29, 2026 · 4mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
6-9 years of experience in data engineering
Experience with Azure
Experience with ADF
Experience with ADLS2
Experience with Databricks
Experience with Python
Experience with PySpark
Experience with DevOps
Familiarity with P&G frameworks like AI factory, Ultimate, Pygentic
Skills
Azure
ADF
ADLS2
Databricks
Python
PySpark
DevOps
About the company
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:
1.
Designing, developing, and maintaining data infrastructure and systems.
2.
Design, develop, and maintain our data infrastructure and systems
3.
Develop and maintain data pipelines to ingest data, ensure data quality and integrity
4.
Design and implement data models and database schemas to support business objectives
5.
Develop and maintain data pipelines to support data processing and analysis
6.
Partner with cross-functional teams to identify and prioritize data requirements and use cases
7.
Manage and optimize distributed systems and data storage solutions
8.
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
Hiring process
India: [email protected]
Outside India: [email protected]
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you’re interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!