Senior Azure Data Engineer

Fractal Analytics Ltd.; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Fractal Analytics Ltd. is seeking an Azure Data Engineer for various locations including Pune, Mumbai, and Bangalore. The ideal candidate will have 6-9 years of experience and will be responsible for designing, developing, and maintaining data infrastructure. You will ensure data quality while partnering with cross-functional teams.

This role emphasizes the importance of talent growth, encouraging professional development within the organization. Join us to lead data engineering practices!

Qualifications

• 6-9 years of experience in data engineering.
• Strong knowledge of Azure and associated tools.
• Experience with data pipeline management.

Responsibilities

• Design, develop, and maintain data infrastructure and systems.
• Develop and maintain data pipelines to ensure data quality and integrity.
• Implement data models and database schemas to support business objectives.
• Support data processing and manage data pipelines.

Skills

Azure

Azure Data Factory (ADF)

Azure Data Lake Storage Gen2 (ADLS2)

Databricks

Python

PySpark

DevOps

P&G frameworks such as AI Factory, Ultimate, Pygentic

Job description

Azure Data Engineer – Locations: Pune, Mumbai, Gurgaon, Noida, Chennai, Coimbatore, Bangalore – Experience: 6–9 years.

Responsibilities

• Design, develop, and maintain data infrastructure and systems.
• Develop and maintain data pipelines to ingest data, ensuring data quality and integrity.
• Design and implement data models and database schemas to support business objectives.
• Support data processing and analysis through robust pipeline management.
• 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.

Required Skills

• Azure
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2 (ADLS2)
• Databricks
• Python
• PySpark
• DevOps
• P&G frameworks such as AI Factory, Ultimate, Pygentic

We value talent growth and encourage employees to develop professionally before recruiting new talent for open positions.