Senior Data Engineer - (Azure Devops)
- Beyond Key
- 6 - 11 years
- Indore
- 23 days ago
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Job Description
we're looking for a hands-on Azure DevOps & Data Engineer who can bridge the gap between platform automation and data engineering. you'll work on automating and optimizing our Azure data pipelines and deployments using Azure DevOps, Logic Apps, Data Factory, and SQL-based solutions. The role requires strong command over T-SQL and experience managing workflows and releases in a modern Azure setup.
Experience Required: 6+ years
Key Responsibilities:
Azure DevOps
- Build and maintain CI/CD pipelines for deploying ADF, SQL scripts, Logic Apps, and other data components.
- Manage Azure DevOps Repos, Pipelines, and Releases for consistent deployments.
- Set up deployment automation and rollback mechanisms across dev, test, and prod.
Azure Data Services
- Design and manage data pipelines using Azure Data Factory (ADF) linked services, triggers, and parameterized workflows.
- Develop and maintain Azure SQL Database and Azure SQL Managed Instance objects.
- Leverage Azure Logic Apps to orchestrate workflows, alerting, approvals, and integrations with other systems.
Database
- Write and optimize complex SQL queries, stored procedures, and functions.
- Perform query tuning, indexing, and data integrity checks.
- Work with large datasets and troubleshoot performance issues.
Monitoring & Maintenance
- Set up monitoring and alerting using Azure Monitor, Log Analytics, or custom alerts in ADF and Logic Apps.
- Handle data job failures, pipeline errors, and CI/CD release troubleshooting.
Collaboration & Documentation
- Collaborate with data analysts, business users, and platform engineers.
- Maintain up-to-date documentation of pipeline workflows, release notes, and known issues.
Required Skills
- Solid experience with Azure DevOps (Pipelines, Repos, Releases).
- Hands-on expertise in Azure Data Factory, Azure Logic Apps, Azure SQL Database, and SQL Managed Instance.
- Strong command over SQL (SPs, UDFs, performance tuning, query plans).
- Good understanding of Git-based source control and branching models.
- Experience in troubleshooting integration flows and ETL/ELT processes.
Nice-to-Have (Not Mandatory)
- Exposure to Power BI, Data Lake.
- Basic scripting in PowerShell or Python.
- Understanding of RBAC, resource tagging, and cost monitoring in Azure.
Soft Skills
- Strong analytical and debugging skills.
- Proactive communicator and collaborator.
- Able to handle multiple deployments and shifting priorities.
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Beyond KeyLocation(s): Indore+ View Contact
Keyskills: Performance tuning Automation GIT Debugging Stored procedures microsoft Analytics Software services SQL Python
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