Description

You will design, develop, and execute enterprise-scale ELT/ETL and data integration processes for on-premise and cloud environments.

This role is on-site.

Responsibilities

• Design and implement high-volume data pipelines for data lake and warehouse architectures.
• Own the full data engineering lifecycle, including platform design and technical solutioning.
• Manage administration, support, and maintenance of Snowflake and Oracle platforms.
• Oversee code development, unit testing, and performance testing to ensure business alignment.
• Mentor team members and establish technical best practices for data integration.

Required Skills

• 10+ years designing and implementing enterprise ELT/ETL solutions.
• 10+ years building data integration, data lake, and data warehouse solutions in cloud and on-premise environments.
• 7+ years working with APIs, data as a service, data marketplace, and data mesh.
• 10+ years experience with SDLC methodologies including Agile, SCRUM, and Waterfall.
• 3+ years working in 100+ TB data environments.
• Proficiency with Snowflake and PL/SQL.
• Hands-on experience with AWS services including S3, EMR, Lambda, Glue, SageMaker, Redshift, and Athena.

Preferred Skills

• Experience with Business Intelligence tools such as IBM Cognos, Power BI, or Alteryx.
• Experience with ETL tools like IBM DataStage, Informatica, Matillion, Fivetran, Talend, or dbt.

Key Skills

Education

Bachelor's in Computer Science, Mathematics or related field