Description

You will design, build, and maintain data solutions within the Azure ecosystem, focusing on ETL processes, pipeline optimization, and data integrity.

This role is on-site.

Responsibilities

• Design and implement ETL processes for data ingestion and transformation.
• Manage and optimize data pipelines using Azure services to ensure reliability and efficiency.
• Ensure data integrity and performance within the data warehouse and data lake environments.
• Tune SQL queries and data workflows for optimal execution speed.

Required Skills

• 5+ years of experience with Data Platforms and Data Warehouses.
• 3+ years of hands-on experience with Azure Data Factory, Azure Data Lake, and Azure Functions.
• Working experience with Azure Databricks using Spark or PySpark.
• Proficiency in SQL, with a preference for Microsoft SQL Server.
• Solid understanding of database design and data warehousing concepts.
• Experience working in an Agile environment.

Preferred Skills

• Experience with business reporting tools like Power BI, SSRS, or Tableau.

Key Skills

Education

Any Gradute