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 Dev Ops, 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 Dev Ops 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 & Net Suite Integrations Delta Lake, Spark SQL, Databricks Workflows CI/CD & Dev Ops for Data Pipelines Azure Dev Ops (Repos, Pipelines, Boards, Releases)



CI/CD Pipeline Automation using Azure Dev Ops 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 / Mule Soft 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 contemporary cloud data platforms and data warehouses Implement CI/CD pipelines using Azure Dev Ops Manage source control, deployments, and release automation Collaborate with Dev Ops and infrastructure teams for cloud deployments Monitor, troubleshoot, and optimize Azure data platform performance.

📌 Azure Data Engineer Hyderabad
🏢 Keylent
📍 Hyderabad