Job Title : Azure Data Engineer (7 Years Experience)

Location : Hyderabad - Hybrid

Experience : 7 Years

Employment Type : Full-Time

Job Summary:

We are looking for an experienced Azure Data Engineer with 7 years of expertise in designing, developing, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate should have strong experience with Azure data services, ETL/ELT pipelines, cloud data warehousing, big data processing, and SQL/Python development. The role involves collaborating with cross-functional teams to build reliable, secure, and high-performance data platforms.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines using Azure data services.
- Build and optimize ETL/ELT processes using Azure Data Factory (ADF).
- Develop data integration solutions using Azure Databricks, PySpark, and Spark SQL.
- Design and implement data lakes using Azure Data Lake Storage Gen2 (ADLS).
- Develop and maintain cloud-based data warehouse solutions using Azure Synapse Analytics.
- Create and optimize SQL queries, stored procedures, and database objects.
- Work with structured, semi-structured, and unstructured data from multiple sources.
- Implement data quality, validation, governance, and security best practices.
- Optimize data processing performance and troubleshoot pipeline failures.
- Automate deployments using Azure DevOps and CI/CD pipelines.
- Monitor Azure resources and ensure high availability and performance.
- Collaborate with business analysts, data scientists, and application teams to deliver data solutions.
- Prepare technical documentation and provide production support.

Required Skills :

1. Azure Services :

- Azure Data Factory (ADF)
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Lake Storage Gen2 (ADLS Gen2)
- Azure SQL Database, Azure Blob Storage, Azure Key Vault, Azure Monitor / Log Analytics.

2. Programming & Databases :

- SQL (Advanced)
- Python
- PySpark
- Spark SQL,



T-SQL.

3. Big Data Technologies :

- Apache Spark
- Delta Lake
- Data Lake Architecture
- Data Warehousing Concepts.

4. DevOps & Version Control :

- Azure DevOps, Git, CI/CD Pipelines.

5. Methodology :

- Agile/Scrum methodology.

Mandatory Qualifications :

- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- 7 years of experience in Data Engineering.
- Minimum 4 years of hands-on experience with Microsoft Azure Data Platform.
- Strong experience with Azure Data Factory and Azure Databricks.
- Hands-on experience with Azure Synapse Analytics.
- Strong SQL and Python programming skills.
- Experience in building enterprise-scale ETL/ELT pipelines.
- Experience working with Azure Data Lake Storage.
- Good understanding of cloud architecture and distributed data processing.

Preferred Qualifications :

- Microsoft Azure Data Engineer Associate certification.
- Experience with Microsoft Fabric.
- Experience with Delta Lake and Lakehouse architecture.
- Knowledge of Power BI integration.
- Experience with Kafka or Event Hubs for streaming data.
- Exposure to Snowflake or other cloud data warehouses.
- Experience working in banking, healthcare, insurance, or retail domains.

Nice to Have :

- Microsoft Fabric
- Azure Functions
- Logic Apps
- Azure Event Hubs
- Azure Stream Analytics
- Docker
- Kubernetes
- Terraform, Purview, Power BI.

Soft Skills :

- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management.
- Ability to work independently and in a collaborative team environment.
- Robust documentation and presentation skills.
- Ability to mentor junior engineers and participate in technical design discussions.

Experience Requirements :

- Total IT Experience : 7 Years
- Azure Data Engineering : 4 Years
- Azure Data Factory : 4 Years
- Azure Databricks & PySpark : 3 Years
- Azure Synapse Analytics: 2 Years
- SQL Development : 5 Years
- Python Development : 3 Years

📌 Azure Data Engineer (India)
🏢 Mouri Tech
📍 India