Senior Azure Data Engineer

Fractal • Python • 25 days ago
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Salary
≈ $27k – $52k per year (Estimated)
Location
In office (Bengaluru, Mumbai, Hyderabad, Chennai, Pune, Noida, Coimbatore, Gurgaon)
Seniority
Senior
Employment
Full-Time
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Fractal

Fractal is a global artificial intelligence and analytics firm headquartered in New York, United States, and founded in 2000. The company provides enterprise AI solutions, decision intelligence services, and specialized products like Crux Intelligence and Eugenie.ai to help organizations scale their AI capabilities. It operates across 10 countries, serving Fortune 500 companies in sectors such as consumer packaged goods, retail, financial services, and healthcare.
fractal.ai • HQ: New York, United States • Machine Learning • LLM & Generative AI • IT Consulting • Information Technology • Decision Intelligence • Data Science • Data & Analytics • Artificial Intelligence • 1001-5000 employees • Est. 2000

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!

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!

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