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

📌 Senior Azure Data Engineer with Azure DevOps (Hyderabad)
🏢 Keylent
📍 Hyderabad