Azure Data Engineer

Siro Clinpharm; Khordha, Kolkata District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Siro Clinpharm in Hyderabad seeks an experienced Azure Data Engineer with 7+ years of designing, building, and maintaining scalable data solutions on the Microsoft Azure platform.

Key responsibilities include designing scalable data pipelines with Azure Data Factory, Databricks, and ADLS, developing and optimizing SQL queries, ensuring data quality, and collaborating with data architects, analysts, and developers to deliver secure, high-performance data workflows across cloud environments.

Qualifications

• 7+ years of experience in Azure data engineering.
• Experience designing and implementing scalable data pipelines.
• Strong SQL skills and data modeling.

Responsibilities

• Design and develop scalable data pipelines and ETL/ELT solutions.
• Work with Azure Data Factory for data ingestion and orchestration.
• Develop transformations using Azure Databricks / Spark.
• Write and optimize SQL queries for processing and analytics.
• Ensure data quality, monitoring, and error handling.
• Collaborate with architects, analysts, and developers.
• Follow best practices for security, performance, and cost optimization.
• Troubleshoot production issues and support deployments.

Skills

Data pipeline design

ETL/ELT

Data quality

Cloud collaboration

Security/compliance

Tools

Azure Data Factory

Azure Databricks

Spark

Azure Data Lake Storage

SQL

Job description

Greetings !

Job Title: Azure Data Engineer

Experience: 7+ Years

Location: Hyderabad

Job Summary

We are looking for an experienced Azure Data Engineer with 7+ years of experience in designing, developing, and maintaining scalable data solutions on the Microsoft Azure platform.

Key Responsibilities

• Design and develop scalable data pipelines and ETL/ELT solutions using Azure services.
• Develop, optimize, and maintain data integration workflows.
• Work with Azure Data Factory (ADF) for data ingestion and pipeline orchestration.
• Develop data transformation and processing solutions using Azure Databricks / Spark.
• Work with Azure Data Lake Storage (ADLS) and cloud-based data platforms.
• Write and optimize SQL queries for data processing and analytics.
• Implement data quality, validation, monitoring, and error-handling mechanisms.
• Integrate data from multiple sources including databases, APIs, files, and cloud platforms.
• Troubleshoot data pipeline failures and resolve production issues.
• Collaborate with data architects, analysts, developers, and business teams.
• Follow best practices for security, performance, scalability, and cost optimization in Azure.
• Participate in deployment, testing, documentation, and production support activities.