Description

Job Title: Data Engineer (ADF and Snowflake)

Location: Remote

Position Type: C2H

 

Job Description:

The Data Engineer will be responsible for designing, developing, and maintaining data pipelines and ETL processes using Azure Data Factory (ADF) and Snowflake. The role involves ensuring data quality, optimizing data workflows, and collaborating with cross-functional teams to support business intelligence and analytics initiatives.

Key Responsibilities:

  • Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory (ADF) and Snowflake.
  • Implement data integration solutions to extract, transform, and load data from various sources into Snowflake.
  • Ensure data accuracy, integrity, and security across all data workflows.
  • Optimize and troubleshoot data workflows to improve performance and scalability.
  • Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.
  • Develop and maintain documentation for data pipelines, ETL processes, and data architectures.
  • Monitor and manage data workflows, ensuring timely and accurate data delivery.
  • Participate in data architecture and design discussions to support business intelligence and analytics goals.
  • Stay updated with the latest trends and best practices in data engineering, ADF, and Snowflake.

 

Please contact on Direct number: 4697500608 Ext no: 423 
Parul.Bobal@sparinfosys.com

Key Skills
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