Azure Data Engineer

Hyderabad, Telangana, India

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

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What you’ll work on

Full posting

Design and implement scalable data pipelines using Azure services
Develop and maintain ETL/ELT workflows for structured and unstructured data
Integrate data from APIs, databases, flat files, and streaming platforms
Create and manage data lakes, data warehouses, and medallion architectures
Monitor and troubleshoot production data workflows and performance issues

From the employer’s posting

Design and implement scalable data pipelines using Azure services.

Develop and maintain ETL/ELT workflows for structured and unstructured data.

Integrate data from multiple sources including APIs, databases, flat files, and streaming platforms.

Create and manage data lakes, data warehouses, and medallion architectures.

Monitor and troubleshoot production data workflows and performance issues.

What you’ll bring

All qualifications

Core experience

Strong experience with Azure Data Factory, Databricks, and Synapse Analytics
Proficiency in SQL and Python / PySpark
Experience with ETL/ELT pipeline development
Data modeling and warehousing concepts
Git, CI/CD, and DevOps practices

Qualification wording

Strong experience with: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics

Proficiency in: SQL Python / PySpark

Experience with: ETL/ELT pipeline development

Data modeling and warehousing concepts

Git, CI/CD, and DevOps practices

Tools in this posting

Python
Scala
SQL
Azure
Databricks
Spark
PySpark

Source

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

Posting record

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Open 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 2, 2026 · 149 days ago
Recorded sightings: 76
Last seen by us: Oct 30, 2026
Employer says posted: May 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

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

Source details

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Pay

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Location & working pattern

Hyderabad, Telangana, India

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Open source at dataeconomy.zohorecruit.in ↗Read the full description ↓

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