Azure Data Engineer

Elabs Infotech; Navi Mumbai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Elabs Infotech in Navi Mumbai is seeking an experienced Azure Data Engineer to design, develop, and maintain scalable data pipelines on Microsoft Azure, leveraging ADF, ADLS Gen2, Azure SQL, and Databricks for analytics and BI.

You will build and optimize ETL/ELT processes, implement data quality checks, and collaborate with cross-functional teams to ensure reliable data platforms that empower business insights for decision-making.

Qualifications

• 5+ years of hands-on experience with Azure data services.
• Strong knowledge of data warehousing concepts and dimensional modeling.
• Proficient in SQL, T-SQL, and data modeling principles.
• Experience building scalable ETL/ELT pipelines on Azure platform.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
• Build and optimize scalable data processing workflows using Azure Databricks (PySpark/SQL).
• Develop and manage data storage solutions using Azure Data Lake Storage (ADLS Gen2).
• Design, develop, and optimize Azure SQL databases, including writing complex SQL queries and performance tuning.
• Integrate data from multiple on-premises and cloud sources into Azure data platforms.
• Implement data validation, cleansing, transformation, and quality checks.
• Monitor and troubleshoot data pipelines to ensure high availability and reliability.

Skills

Azure Data Factory

Azure Data Lake Storage

Azure SQL / T-SQL

Azure Databricks / PySpark

SQL & data modeling

ETL/ELT design

Data warehousing / dimensional models

Performance tuning / query opt.

REST APIs / data integration

Git

Azure DevOps / CI/CD

Tools

Git

Azure DevOps

Job description

Position Overview

We are seeking an experienced Azure Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions on Microsoft Azure. The ideal candidate will have strong expertise in Azure Data Factory, Azure Data Lake, Azure SQL, and Azure Databricks, with experience in building modern data platforms that support analytics and business intelligence.

Key Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
• Build and optimize scalable data processing workflows using Azure Databricks (PySpark/SQL).
• Develop and manage data storage solutions using Azure Data Lake Storage (ADLS Gen2).
• Design, develop, and optimize Azure SQL databases, including writing complex SQL queries, stored procedures, and performance tuning.
• Integrate data from multiple on-premises and cloud-based sources into Azure data platforms.
• Implement data validation, cleansing, transformation, and quality checks.
• Monitor and troubleshoot data pipelines to ensure high availability and reliability.

Required Skills:

• Strong experience with Azure Data Factory (ADF).
• Hands‑on experience with Azure Data Lake Storage (ADLS Gen2).
• Strong knowledge of Azure SQL Database and T‑SQL.
• Experience with Azure Databricks and PySpark.
• Proficiency in SQL and data modeling concepts.
• Experience with ETL/ELT design and implementation.
• Understanding of data warehousing concepts and dimensional modeling.
• Knowledge of performance tuning and query optimization.
• Experience with Git, Azure DevOps, and CI/CD pipelines.
• Familiarity with REST APIs and data integration techniques.