Meeting with data product and AI teams to discuss the data contract, requirements, and objectives
Assisting the data quality team with data cleanup, issue tracking, profiling, and validations
Meeting with data pipeline teams to map out data transformations, data flows, and load validations for building Data Products
Collaborating with Data Product and AI teams to develop data interfaces for Data Products
Developing data integration workflows to stage, transform, and build Data Products
Developing and testing SQL queries in Snowflake to support integration code
Coding in modern data integration tools
Creating REST APIs to support data interfaces
Developing Reporting Semantic Models to support Data Product interfaces
Participating in team meetings and design sessions to plan and status project tasks.

Requirements

Pursuing a bachelor’s or master’s degree in computer science, Data Science, Information Systems, Engineering, Analytics, or a related field
Interest in data integration, data quality, analytics, and enterprise data platforms
Fundamental understanding of data concepts i.e., data structures and data design (tables, schemas, metadata, data quality, data modeling basics)
Experience or coursework with SQL
Experience or coursework developing program code in Python or an equivalent programming language
Fundamental understanding of REST APIs and JSON
Strong analytical and problem-solving skills
Ability to document processes clearly and communicate technical ideas to both technical and non-technical audiences
Comfortable working in a collaborative, team-based environment
US citizenship required

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonREST APIsdata integrationdata qualitydata modelingdata transformationsdata flowsdata cleanupdata profiling

Soft Skills

analytical skillsproblem-solving skillscommunication skillscollaborationdocumentation