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Data Engineer
3 months ago
Data Engineer with strong experience in DBT SQL, and creating ETL pipelines from scratch.
Start date: ASAP. Office Location: Remote.
Key Qualifications:
- Familiarity with Database interface tools, SQL, and Programming concepts.
- Relevant experience within the Retail space.
- Eagerness to learn, flexibility to pivot when needed, and a growth mindset 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 experience.
- Comfortability working with raw/ad data and the ability to create a story out of it.