Azure Data Engineer

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

Job summary

Fractal is seeking an Azure Data Engineer to design, build, and optimize data pipelines and infrastructure across cloud-based components. This role, based in multiple Indian cities including Bangalore, requires hands-on experience with modern data platforms.

The ideal candidate will own end-to-end data solutions using Azure Data Factory, ADLS2, and Databricks, with Python and PySpark proficiency and experience in DevOps practices. 3-5 years of experience is required.

Qualifications

• Experience designing data pipelines and data infrastructures.
• Strong knowledge of Azure data services (ADF, ADLS2, Databricks).
• Proficient in Python and PySpark with DevOps practices.

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

Skills

Azure

ADF

ADLS2

Databricks

Python

PySpark

DevOps

AI factory

Ultimate

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?

Our people make all the difference in our success.

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!