Sr. Snowflake Data Engineer

Need some one near to Chicago, Face to face Interview is Mandatory!!

Experience:
Total 13+ years of experience as data engineer; proven experience as a Snowflake data engineer for 7+ years.

Skills:
Strong knowledge of SQL writing complex queries, performance tuning, Strong experience with Oracle, Snowflake, ETL/ELT tools

Data engineering: proven track record of developing and maintaining data pipelines and data integration projects

Orchestration Tools:
Experience in Airflow for managing data pipeline workflows.

Programming: proficiency in Python and SQL for data processing tasks.

Data Modeling:
Understanding of data modeling principles and experience with data warehousing solutions.

Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.

Data Integration:

Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using CDC tools.

Support Data Modeling:

Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting requirements.

Reporting Support:

Collaborate with data architect to ensure the data within Snowflake is structured in a way that supports efficient and insightful reporting.

Technical Documentation:

Create and maintain comprehensive documentation of data pipelines, ETL processes, and data models to ensure best practices are followed and knowledge is shared within the team.

• Mid-Senior level

• Contract

• Design, Consulting, and Analyst

• IT Services and IT Consulting, Software Development, and Business Consulting and Services