Description

You will design and implement data engineering solutions, focusing on platform selection, data modeling, and enterprise architecture.

Responsibilities

• Design data engineering solutions, including data platform selection, modeling, and enterprise architecture development.
• Configure data analytics environments, integration systems, and environment-specific data storage.
• Integrate agency data into data lakes, data quality, and data curation solutions.
• Lead design, implementation, and maintenance strategies for data systems.
• Collaborate with IT Architecture, CIO, and IT Managers to align data solutions with agency requirements.

Required Skills

• 5+ years of experience in data integration, data cleansing, classification, and data modeling.
• 2+ years of experience with Salesforce.
• 2+ years of experience with Microsoft environments, including Azure and Dynamics.
• 2+ years of experience with StreamSets.
• 2+ years of experience with Cloudera.
• 2+ years of experience with Snowflake.
• 2+ years of experience with Tableau integration.
• 2+ years of experience with Microsoft SQL systems.
• Ability to provide technical guidance to Data Management teams on best-practice integration.

Key Skills

Education

Any Gradute