Senior Azure Data Engineer

Fractal Labs
Bengaluru, Pune, Mumbai, Gurugram, Noida, Chennai, Coimbatore, Hyderabad
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 6-9 yearsSkills: ["Communication","Collaboration","Problem-solving"]

Senior Azure Data Engineer responsible for designing, developing, and maintaining scalable data infrastructure and pipelines across multiple Indian locations. You will build and optimize data models, ingrain data quality, and collaborate with cross-functional teams to prioritize use cases. Experience with Azure data services, Databricks, Python/PySpark, and DevOps practices is required to support data-driven decisions at scale in a fast-growing environment.

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FursaFursa
Fractal Labs
Fractal Labs
2 months ago

Senior Azure Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 days agoStatus: Live

Job Summary

Senior Azure Data Engineer responsible for designing, developing, and maintaining scalable data infrastructure and pipelines across multiple Indian locations. You will build and optimize data models, ingrain data quality, and collaborate with cross-functional teams to prioritize use cases. Experience with Azure data services, Databricks, Python/PySpark, and DevOps practices is required to support data-driven decisions at scale in a fast-growing environment.
Location: Bengaluru, Pune, Mumbai, Gurugram, Noida, Chennai, Coimbatore, Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, develop, and maintain data infrastructure and 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

Key Requirements

  • •Design, develop, and maintain data infrastructure and pipelines using Azure services (ADF, ADLS2) and Databricks
  • •Proficient in Python and PySpark for data processing
  • •Apply DevOps practices to data engineering workflows
  • •Design data models and database schemas to support business objectives
  • •Collaborate with cross-functional teams to identify data requirements and use cases
Experience:6-9 yearsData engineeringAzureDatabricksPythonPySpark
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:AzureADFADLS2DatabricksPythonPySparkDevOpsAI factoryUltimatePygentic

Company Brief

Fractal Labs
Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2000
WebsiteLinkedIn