Azure Data Engineer

Fractal Analytics Ltd.; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Fractal Analytics Ltd. in Bengaluru is seeking an Azure Data Engineer to design, build, and maintain data infrastructure and pipelines that power business insights. With 3–5 years of hands-on experience, you will work across data ingestion, quality, modeling and storage.

Key must-haves include Azure, Azure Data Factory, ADLS2, Databricks, Python, PySpark and DevOps practices. You will collaborate with cross-functional teams to deliver scalable data solutions and improve data governance.

Qualifications

• 3–5 years of data engineering experience.
• Strong design and development of data pipelines and data models.
• Hands-on Azure stack experience: ADF, ADLS2, Databricks.
• Proficiency in Python and PySpark; familiarity with DevOps practices.

Responsibilities

• Designing, developing, and maintaining 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.
• 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.

Skills

Azure

Python

PySpark

DevOps

Databricks

Tools

Azure Data Factory

Azure Data Lake Storage Gen2

Databricks

AI Factory

Pygentic

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,Hyderabad

Experience- 3-5years

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.

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!

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.