Senior Azure Data Engineer

Fractal

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 16 hours ago
Vacancies: 1 Vacancy

Job Summary

Its fun to work in a company where people truly BELIEVE in what they are doing!

Were 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 youll enjoy your career with us!

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Required Experience:

Senior IC

Its fun to work in a company where people truly BELIEVE in what they are doing!Were committed to bringing passion and customer focus to the business.Role- Azure Data EngineerLocations- Pune Mumbai Gurgaon Noida Chennai Coimbatore BangaloreExperience- 6-9yearsExcited to grow your careerWe value our t...
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Fractal Analytics helps global Fortune 100 companies power every human decision in the enterprise by bringing analytics and AI to the decision.

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