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Awign
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Azure DevOps Engineer

Azure DevOps Engineer

Awign

4 years

0 Lacs

itanagar arunachal pradesh india

Posted:21 hours ago| Platform:

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Skills Required

azure devops data adf databricks pipeline management scalability efficiency processing orchestration etl workflow design github pyspark writing sql query optimization engineering ml integration deployment automate security compliance terraform monitoring scripting powershell python technology debugging collaboration

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title :

Azure DevOps Engineer

Location :

Remote (with 1 visit Bangalore office)

Experience :

4+ Years

Role Overview

We are seeking a skilled Azure DevOps Engineer with hands-on experience in Azure Data Factory (ADF), Azure Databricks (ADB), and CI/CD pipeline management. The ideal candidate will work on deploying, automating, and optimizing data workflows and pipelines in a cloud environment, ensuring scalability, efficiency, and reliability.

Mandatory Skills

Azure Databricks (ADB) Data processing, orchestration, and optimization.
Azure Data Factory (ADF) ETL, workflow design, and data movement automation.
CI/CD Pipelines Azure DevOps, GitHub Actions, or equivalent tools.
PySpark Writing and optimizing distributed data processing code.
SQL Query optimization, data validation, and integration.

Key Responsibilities

Design, develop, and maintain CI/CD pipelines for Azure-based data platforms.
Implement and optimize Azure Data Factory and Azure Databricks workflows for data processing and analytics.
Collaborate with Data Engineering and ML teams to enable continuous integration and deployment of scalable data pipelines.
Automate data orchestration processes using PySpark and SQL.
Monitor, troubleshoot, and optimize pipeline performance and data flow.
Maintain and enhance DevOps best practices, ensuring security and compliance in all deployments.

Good-to-Have Skills

Familiarity with Terraform or ARM templates for infrastructure automation.
Experience with Azure Synapse, Delta Lake, or Data Lake Storage.
Knowledge of monitoring tools (Azure Monitor, Log Analytics).
Scripting knowledge in PowerShell or Python for DevOps automation.

Qualifications

Bachelors or Masters degree in Computer science, Information Technology, or related field.
Minimum 4+ years of experience in Azure DevOps with a focus on data engineering workflows.
Strong problem-solving, debugging, and collaboration skills.

(ref:hirist.tech)

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