Senior Azure Data Engineer
Fractal Analytics3 months ago
Pune, India +4 moreSenior
Responsibilities
- Design, develop, and maintain data infrastructure and systems.
- Develop and maintain data pipelines for data ingestion, processing, analysis, quality, and integrity.
- Design and implement data models and database schemas supporting business objectives.
- Manage and optimize distributed systems and data storage solutions.
- Partner with cross-functional teams to identify and prioritize data requirements and use cases.
- Develop and maintain data engineering best practices and standards.
Requirements
- 6–9 years of experience.
- Mandatory experience with Azure, ADF, ADLS2, Databricks, Python, PySpark, DevOps, and P&G frameworks including AI factory, Ultimate, and Pygentic.
Benefits
- Locations include Pune, Mumbai, Gurgaon, Noida, Chennai, Coimbatore, and Bangalore.
- The company states that it supports employees' professional growth and encourages internal career development where possible.
About Fractal Analytics
Fractal builds enterprise AI and analytics solutions—delivered as consulting services and software products—for large global enterprises, especially Fortune 500 firms. Its teams embed AI in decisions across marketing, pricing, supply chain, forecasting, and customer experience. Founded in 2000 and headquartered in New York, Fractal is publicly listed and operates across North America, EMEA, and APAC.