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Azure Data Engineer

Data Engineer

4 days ago

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Job Description

πŸ“’ We’re Hiring – Azure Data Engineer | Brainhunter
πŸ“ Location: Mumbai / Pune / Bangalore / Hyderabad (Hybrid)
πŸ’Ό Experience: 4–6 Years
πŸ•’ Job Type: Full-Time
πŸ” Job Summary
We are looking for a skilled and detail-oriented Azure Data Engineer to join our growing data engineering team. The ideal candidate will have hands-on experience in building scalable data pipelines, working with Azure cloud services, and supporting enterprise-grade data platforms.
πŸ› οΈ Key Responsibilities
Design, develop, and maintain scalable data pipelines using Azure services
Build and optimize ETL/ELT workflows using Azure Data Factory (ADF) and Azure Databricks
Develop solutions using Azure Data Lake, Azure Synapse Analytics, and Azure SQL
Create and maintain Databricks notebooks (PySpark, Databricks SQL, Delta Lake)
Handle transformation of structured & semi-structured data (JSON, Parquet, XML, CSV)
Collaborate with cross-functional teams for data requirements and delivery
Monitor and support production pipelines ensuring SLA adherence
Implement data warehousing concepts (SCD, dimensional modeling)
Optimize performance using partitioning, clustering, and tuning techniques
Support on-prem to Azure cloud migration projects
Ensure data security, governance, and compliance
Implement CI/CD pipelines using DevOps practices
Perform system analysis and reverse engineering where required
Design conceptual, logical, and physical data models
🧠 Required Skills & Expertise
Hands-on experience with:
Azure Data Factory (ADF)
Azure Data Lake
Azure Synapse Analytics (MPP, Spark)
Azure SQL Database
Azure Logic Apps
Strong programming in PySpark and SQL (CTEs, stored procedures, functions)
Experience with Databricks and Delta Lake architecture
Good understanding of:
Data Warehousing concepts
ETL/ELT processes
Data Modeling techniques
Relational & NoSQL databases
Experience with data ingestion from FTP, SAP, RDBMS, APIs
Familiarity with Agile methodologies
Strong analytical and problem-solving skills
πŸ”„ Additional Expectations
Experience in large-scale data migrations (On-Prem to Cloud)
Ability to optimize pipelines for varying data volumes
Understanding of DevOps and CI/CD for data platforms
Strong communication and stakeholder management skills
πŸŽ“ Nice to Have
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Databricks Data Engineering Certification
🌟 Why Join Us?
Work on cutting-edge cloud and big data technologies
Opportunity to contribute to large-scale data transformation projects
Collaborative and growth-oriented work environment
πŸ“© How to Apply
Send your updated resume to:
πŸ“§ eze589732@gmail.com
πŸ“± +91 9834898276

Key Responsibilities
πŸ› οΈ Key Responsibilities
Design, develop, and maintain scalable data pipelines using Azure services
Build and optimize ETL/ELT workflows using Azure Data Factory (ADF) and Azure Databricks
Develop solutions using Azure Data Lake, Azure Synapse Analytics, and Azure SQL
Create and maintain Databricks notebooks (PySpark, Databricks SQL, Delta Lake)
Handle transformation of structured & semi-structured data (JSON, Parquet, XML, CSV)
Collaborate with cross-functional teams for data requirements and delivery
Monitor and support production pipelines ensuring SLA adherence
Implement data warehousing concepts (SCD, dimensional modeling)
Optimize performance using partitioning, clustering, and tuning techniques
Support on-prem to Azure cloud migration projects
Ensure data security, governance, and compliance
Implement CI/CD pipelines using DevOps practices
Perform system analysis and reverse engineering where required
Design conceptual, logical, and physical data models
Skill & Experience
  • Azure Data Factory
  • Azure Data Lake
  • Azure Synapse Analytics
  • Azure SQL Database
  • Azure Logic Apps
  • PySpark
  • SQL
Job Overview

Date Posted:

11th Apr, 2026

Expiration date:

31st Dec, 2026

Location:

Pune , Maharashtra, India

Job Type:

IT

Job Shift:

Fixed Shift

Functional Areas:

IT Support

Positions:

0

Job Experience:

8 Year

Salary Period:

Monthly Pay Period