Azure Data Engineer

Siro Clinpharm; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Siro Clinpharm is seeking an experienced Azure Data Engineer to design and implement enterprise-scale data solutions on Microsoft Azure in Pune. You will build scalable ETL/ELT pipelines with ADF, process data using Databricks and PySpark, and manage storage with ADLS Gen2 while creating impactful Power BI dashboards.

The role emphasizes data quality, governance, and collaboration with cross-functional teams to translate business requirements into robust, scalable data platforms and insights.

Qualifications

• Experience in designing enterprise-scale data solutions on Microsoft Azure.
• Hands-on with ADF, Databricks, PySpark, ADLS Gen2 and Power BI.
• 7+ years of relevant work experience is mandatory.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory.
• Build and optimize data processing solutions with Azure Databricks and PySpark.
• Manage enterprise data storage using ADLS Gen2.
• Develop robust data transformation and integration workflows for structured and unstructured data.
• Create and support interactive dashboards and reports using Power BI.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Ensure data quality, governance, security, and compliance across Azure data platforms.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Participate in code reviews, documentation, and Agile development activities.

Tools

Azure Data Factory

Azure Databricks

PySpark

Azure Data Lake Storage Gen2

Power BI

Job description

Greetings !

Job Title: Azure Data Engineer

Experience: 7+ Years (Mandatory)

Location: Pune

Job Summary

We are seeking an experienced Azure Data Engineer with a strong background in designing and implementing enterprise-scale data solutions on Microsoft Azure. The ideal candidate should have hands‑on experience with Azure Data Factory (ADF), Azure Databricks, PySpark, Azure Data Lake Storage Gen2 (ADLS Gen2), and Power BI. The role involves building scalable data pipelines, optimizing data platforms, and enabling data-driven business insights.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).
• Build and optimize data processing solutions using Azure Databricks and PySpark.
• Manage enterprise data storage using Azure Data Lake Storage Gen2 (ADLS Gen2).
• Develop robust data transformation and integration workflows for structured and unstructured data.
• Create and support interactive dashboards and reports using Power BI.
• Collaborate with business stakeholders, architects, and cross-functional teams to translate business requirements into technical solutions.
• Ensure data quality, governance, security, and compliance across Azure data platforms.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Participate in code reviews, documentation, and Agile development activities.