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 contemporary 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