Job Description
Senior Azure Data Engineer
nExperience: 5–8 Years
nLocation: Hyderabad (Onsite)
nEmployment Type: Full time
nPosition Overview
nWe are seeking a skilled Senior Azure Data Engineer with expertise in Azure cloud technologies, big data processing, ETL/ELT pipeline development, Azure DevOps, and enterprise system integrations. The ideal candidate should have hands-on experience with Azure Databricks, PySpark, Azure Data Factory, Synapse Analytics, APIs, SQL, Python, Power BI, and Azure DevOps to build scalable, secure, and automated data and analytics solutions.
nRequired Skills
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- Azure Data Factory (ADF)n
- Azure Databricksn
- Apache Spark & PySparkn
- Azure Synapse Analyticsn
- Azure Data Lake & Blob Storagen
- Python & SQLn
- REST & SOAP API Integrationsn
- SQL Query Optimization & Database Managementn
- ETL/ELT Pipeline Developmentn
- Data Warehousing (Star & Snowflake Schema)n
- Microsoft Power BIn
- Salesforce & NetSuite Integrationsn
- Delta Lake, Spark SQL, Databricks Workflowsn
- CI/CD & DevOps for Data Pipelinesn




- Azure DevOps (Repos, Pipelines, Boards, Releases)n
- CI/CD Pipeline Automation using Azure DevOpsn
- Git Version Control & Branching Strategiesn
- Deployment Automation & Release Managementn
- Agile Methodologiesn
- Cloud Security & Access Managementn

nNice to Have
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- Kafka / Event Hubn
- Real-time Streaming Pipelinesn
- Dell Boomi / MuleSoftn
- Data Governance & Security Best Practicesn
- Terraform / ARM Templatesn
- Azure Monitor & Log Analyticsn

nKey Responsibilities
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- Build scalable ETL/ELT pipelines on Azuren
- Develop big data solutions using Databricks & PySparkn
- Integrate enterprise systems via REST/SOAP APIsn
- Optimize SQL queries and Spark workloadsn
- Build dashboards and analytics using Power BIn
- Design modern cloud data platforms and data warehousesn
- Implement CI/CD pipelines using Azure DevOpsn
- Manage source control, deployments, and release auto

📌 Azure Data Engineer (Hyderabad)
🏢 Keylent
📍 Hyderabad