Job Description
Data Engineer with strong experience in DBT SQL, and creating ETL pipelines from scratch
Start date: ASAP. Office Location: Remote Familiarity with Database interface tools, SQL, and Programming concepts Relevant experience within the Retail space along Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company. A high level of organization and attention to detail Experience with Data mapping, Data architecture, Data integration, ETL, and working on large datasets Requirements: Hands-on experience with SQL, Data Manipulation, and Data Analysis. Proficiency in documentation, creating and accepting handovers, and effectively managing change/release communications. 2+ years of experience applying Python (NumPy, Pandas, Other common libraries) programming to solve business challenges. Scripting/development experience with Python, including working with Google APIs, building data pipelines, authentication, file handling, and raw data manipulation is a plus. Exposure to working with large data platforms and handling sizable datasets is a plus. Snowflake, Cassandra or Vertica Mode/Tableau comfortability working with raw/ad data and the ability to create a story out of it.