Description

Key Skills: Data Engineering, Databricks, Python, Azure Data Factory, Azure Blob Storage, Snowflake, SQL, Fivetran, Data Pipelines, Data Warehousing, Cloud Data Platforms.

Roles & Responsibilities:

• Build, maintain, and support production-grade data systems and data processing workflows.
• Develop and optimize data pipelines using Azure Data Factory and/or Fivetran.
• Design and implement data processing solutions using Databricks.
• Manage data ingestion and storage workflows using Azure Blob Storage.
• Work with Snowflake and SQL for data warehousing, modeling, and analytics.
• Ensure data quality, reliability, and performance across pipelines and platforms.
• Collaborate with stakeholders to support analytics and business intelligence needs.
• Automate and improve data engineering processes using best practices.

Experience:

• 7 - 10 years of experience in Data Engineering or Cloud Data platforms.
• Strong hands-on experience with Python, SQL, and Databricks.
• Experience working with Azure data services including Azure Data Factory and Azure Blob Storage.
• Experience with Snowflake and modern data warehousing solutions.
• Experience building and maintaining scalable data pipelines in production environments.

Education: Any Graduation

Key Skills

Education

Any Graduate