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  • Cloud Data Engineer
    New
    Data

    Cloud Data Engineer

    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    Specific-task
    Operating mode
    Hybrid
    Kolomolo

    Kolomolo

    Kolomolo is a global leader in digital solutions, recognized for pushing the boundaries of technology. We prioritize autonomy, work-life balance, and continuous learning. Inspired by Scandinavian values, we offer a flexible, remote, and asynchronous work environment. Our team is passionate, supportive, and driven by innovation, fostering a fun and inclusive culture. If you're looking for a company that values growth, rewards hard work, and encourages creativity, Kolomolo is the place to take your career to the next level.

    Company profile

    Tech stack

      ETL

      advanced

      Data Warehousing

      advanced

      SQL

      advanced

      Git

      regular

      Confluence

      regular

      Snowflake

      regular

    Job description

    Online interview
    Friendly offer

    Assignment Description


    Assignment Description


    We are on the lookout for a talented Cloud Data Engineer for our esteemed Client in the banking industry. Join our dynamic team at DW & Analytics, where we craft cutting-edge Data and Analytical solutions for Group Finance. Your primary role will involve crafting and maintaining intricate data pipelines within our state-of-the-art Snowflake data warehouse. By seamlessly loading and extracting data from source to target, you will empower your team of BI developers to generate insightful Power BI reports. Your expertise will be pivotal as you spearhead new data loads, drawing upon your extensive knowledge to design robust and scalable ELT/ETL solutions.


    Key Requirements


    • Hands-on experience with Snowflake (1-3 years), adept at implementing SPs and UDFs
    • Extensive background in Data Warehouse solutions pre-Snowflake (10+ years)
    • Proficiency in designing and executing ELT/ETL flows
    • Proficient in navigating Snowflake, including metadata examination and SQL/JS object interpretation
    • Proficiency in Confluence
    • Practical understanding of git
    • Advanced knowledge of Data Warehousing principles and methodologies
    • Profound grasp of Data Integration concepts (streaming, batch)
    • Familiarity with DataStage structures such as sequences and jobs
    • Exposure to DataStage is advantageous
    • Mastery of SQL
    • Ability to translate business requirements into effective ETL solutions
    • Strong communication skills and exceptional organizational abilities
    • A knack for problem-solving and delving into complex challenges



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