Description

Key Skills: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake, Azure Blob Storage, SQL, PySpark, Data Warehousing, ETL, CI/CD

Roles & Responsibilities:

• Design and develop data pipelines using Azure Data Factory and Synapse Analytics.
• Build and manage data storage solutions using Azure Data Lake and Blob Storage.
• Develop data transformation and processing jobs using PySpark.
• Write efficient SQL queries for data analysis and reporting.
• Build and maintain analytics-ready datasets and data warehouse solutions.
• Apply data engineering best practices for data ingestion, transformation, and storage.
• Use version control and CI/CD practices for reliable code deployment.
• Work with teams to ensure data quality, availability, and performance.

Experience Required:

• 3 - 9 years of experience in Data Engineering.
• Strong hands-on experience with Azure Data Factory, Synapse, Data Lake, and Blob Storage.
• Good knowledge of SQL and experience with SQL Server, PostgreSQL, or similar databases.
• Strong experience with PySpark and large-scale data processing.
• Knowledge of data warehousing concepts, dimensional modeling, and SCD Type 1/Type 2.
• Experience with Azure Databricks is a good to have.
• Good understanding of version control and CI/CD practices.

Education: Any Graduation

Key Skills

Education

Any Graduate