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Data Analyst Data Engineer

Analytics Engineer

Job in Snowflake, Navajo County, Arizona, 85937, USA
Listing for: The Kynetec Group
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Job Description & How to Apply Below

Key Responsibilities:

  • Analyze source data and document comprehensive source-to-target mappings.
  • Design, develop, and optimize scalable data pipelines utilizing Databricks, RDS Postgre

    SQL, Snowflake, and AWS services.
  • Assess, monitor, and improve data quality and integrity across data workflows.
  • Develop, troubleshoot, and enhance processes within data warehouse environments.
  • Create reports using BI tools (e.g., Tableau, Sigma, Looker) and analytical notebooks (e.g., Jupyter Notebooks, Jupyter Lab).
  • Collaborate closely with Data Analysts and Engineers, translating business requirements into technical solutions.

    • Qualifications & Skills:

    Required:

  • At least 3+ years of relevant experience in data engineering or analytics engineering.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
  • Strong proficiency in SQL and Python, including experience with libraries such as pandas for data manipulation and matplotlib, seaborn, or plotly for data visualization.
  • Hands-on experience with Databricks, RDS Postgre

    SQL, and AWS.
  • Familiarity with version control systems (Git) and data orchestration tools (Airflow).
  • Experience developing reports using BI tools (Tableau, Sigma, Looker).
  • Familiarity with analytical notebooks (e.g., Jupyter Notebooks, Jupyter Lab).

    • Preferred:

  • Experience with Snowflake highly desirable.
  • Understanding and experience with Data Vault 2.0 architecture.
  • Relevant industry certifications (e.g., Databricks Certified Data Engineer, Snowflake certification).

    • Soft Skills:

  • Exceptional problem-solving capabilities and strong attention to detail.
  • Effective communication and collaboration skills across technical and non-technical teams.
  • Ability to work independently, set priorities, and manage multiple projects in a fast-paced environment.
  • Eagerness to learn and adapt in an ever-evolving tech landscape.

    • Role

    Description:

    The Analytics Engineer will play a pivotal role bridging data analysis and engineering, responsible for developing, documenting, and optimizing data workflows. This role ensures seamless integration between business analytics and data infrastructure.

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