Senior Azure Data Engineer Experience: 5–8 Years Location: Hyderabad (Onsite) Employment Type: Full time Position Overview We 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.

Required Skills - Azure Data Factory (ADF)
Azure Databricks
Apache Spark & PySpark
Azure Synapse Analytics
Azure Data Lake & Blob Storage
Python & SQL
REST & SOAP API Integrations
SQL Query Optimization & Database Management
ETL/ELT Pipeline Development
Data Warehousing (Star & Snowflake Schema)
Microsoft Power BI
Salesforce & NetSuite Integrations
Delta Lake, Spark SQL, Databricks Workflows
CI/CD & DevOps for Data Pipelines
Azure DevOps (Repos, Pipelines, Boards, Releases)




CI/CD Pipeline Automation using Azure DevOps
Git Version Control & Branching Strategies
Deployment Automation & Release Management
Agile Methodologies
Cloud Security & Access Management Nice to Have - Kafka / Event Hub
Real-time Streaming Pipelines
Dell Boomi / MuleSoft
Data Governance & Security Best Practices
Terraform / ARM Templates
Azure Monitor & Log Analytics Key Responsibilities - Build scalable ETL/ELT pipelines on Azure
Develop big data solutions using Databricks & PySpark
Integrate enterprise systems via REST/SOAP APIs
Optimize SQL queries and Spark workloads
Build dashboards and analytics using Power BI
Design up-to-date cloud data platforms and data warehouses
Implement CI/CD pipelines using Azure DevOps
Manage source control, deployments, and release automation
Collaborate with DevOps and infrastructure teams for cloud deployments
Monitor, troubleshoot, and optimize Azure data platform performance.

📌 Azure Data Engineer Hyderabad
🏢 Keylent
📍 Hyderabad