Azure Data Engineer
Hyderabad, Telangana, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Databricks
- PySpark
- Spark
Source — Tool mentions in context
We are seeking a skilled Azure Data Engineer to design, develop, and maintain scalable cloud-based data solutions on the Microsoft Azure platform. The ideal candidate will have expertise in data integration, ETL/ELT pipelines, big data technologies, and cloud data warehousing to support analytics and business intelligence initiatives. Key Responsibilities Design and implement scalable data pipelines using Azure services. Develop and maintain ETL/ELT workflows for structured and unstructured data. Build and optimize data solutions using Azure cloud technologies. Integrate data from multiple sources including APIs, databases, flat files, and streaming platforms. Create and manage data lakes, data warehouses, and medallion architectures. Ensure data quality, governance, security, and compliance standards. Monitor and troubleshoot production data workflows and performance issues. Collaborate with data analysts, DevOps, and business stakeholders. Implement CI/CD pipelines and infrastructure automation for data platforms. Optimize SQL queries and improve overall data processing performance. Requirements Technical Skills Strong experience with: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake Storage (ADLS) Azure SQL Database Azure Functions Azure Event Hub / Service Bus Proficiency in: SQL Python / PySpark Scala (optional) Experience with: ETL/ELT pipeline development Data modeling and warehousing concepts Spark-based distributed processing REST APIs and data integration Git, CI/CD, and DevOps practices Benefits Standard Company Benefits
Job description
We are seeking a skilled Azure Data Engineer to design, develop, and maintain scalable cloud-based data solutions on the Microsoft Azure platform. The ideal candidate will have expertise in data integration, ETL/ELT pipelines, big data technologies, and cloud data warehousing to support analytics and business intelligence initiatives. Key Responsibilities Design and implement scalable data pipelines using Azure services. Develop and maintain ETL/ELT workflows for structured and unstructured data. Build and optimize data solutions using Azure cloud technologies. Integrate data from multiple sources including APIs, databases, flat files, and streaming platforms. Create and manage data lakes, data warehouses, and medallion architectures. Ensure data quality, governance, security, and compliance standards. Monitor and troubleshoot production data workflows and performance issues. Collaborate with data analysts, DevOps, and business stakeholders. Implement CI/CD pipelines and infrastructure automation for data platforms. Optimize SQL queries and improve overall data processing performance. Requirements Technical Skills Strong experience with: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake Storage (ADLS) Azure SQL Database Azure Functions Azure Event Hub / Service Bus Proficiency in: SQL Python / PySpark Scala (optional) Experience with: ETL/ELT pipeline development Data modeling and warehousing concepts Spark-based distributed processing REST APIs and data integration Git, CI/CD, and DevOps practices Benefits Standard Company Benefits
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, Telangana, India
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- Work authorization
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- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 57
- Last seen by us
- Oct 8, 2026
- Employer says posted
- May 29, 2026
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