Senior Azure Data Engineer

Fractal; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Fractal is looking for a Senior Azure Data Engineer to join our team in India. In this role, you will be responsible for designing, developing, and maintaining our data infrastructure and systems across various locations including Pune, Mumbai, and Bengaluru.

The ideal candidate will have 6-9 years of experience, with strong expertise in Azure, ADF, Databricks, and Python. Join us to work in a dynamic environment focused on innovation and professional growth.

Qualifications

• 6-9 years of experience in data engineering or related field.
• Strong understanding of data infrastructure and data models.
• Experience with data pipeline development and management.

Responsibilities

• Design and maintain data infrastructure and systems.
• Develop data pipelines for data quality and integrity.
• Optimize distributed systems and data storage solutions.

Skills

Azure

ADF

ADLS2

Databricks

Python

PySpark

DevOps

P&G frameworks

Job description

## Senior Azure Data EngineerApplylocations: Bengaluru: Pune: Chennai: Mumbai: Hyderabadtime type: Full timeposted on: Posted Yesterdayjob requisition id: SR-43592It'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, PygenticIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!### **Hiring Related Queries**India: [e-mail] India: [e-mail] inbox does not process resume submissions. All applications must be made through posted job openings