#1 Job Board for tech industry in Europe

  • Job offers
  • Salary calculator
  • Top Companies
  • Geek
    • Snowflake Data Engineer
    Data

    Snowflake Data Engineer

    QOOB.DEV

    Warszawa
    Type of work
    Undetermined
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      SQL

      regular

      Python

      junior

      AWS

      nice to have

      Snowflake

      nice to have

      Apache Spark

      nice to have

      Java

      nice to have

      JavaScript

      nice to have

    Job description

    Online interview
    As an Snowflake Data Engineer you’ll be part of a project focused on development of data pipelines within central data platform (data lake, dwh, data applications).  The project contains multiple parts, such as integration of data from multiple sources, applying transformations using Python and Snowflake SQL and taking care of the performance aspects. The candidate needs to be able to effectively translate business requirements into technical specification and solutions, has to know how to build scalable data pipelines using Snowflake core services (SQL, Stages, Snowpipe) and ecosystem ( AWS / Apache Spark / Python Connector ).

    Responsibilities:

    • Being able to effectively convert business requirements into technical solutions
    • Data pipelines development using Snowflake (SQL, optionally Java / Javascript UDFs)
    • Integration with Snowflake ecosystem (Python connector / Spark connector / Snowpipe / AWS)
    • Building, testing and debugging ETLs.
    • Proposing solutions for data processing applications 

    Requirements:

    • Good understanding of Snowflake architecture
    • At least 0,5 years of Experience with Snowflake or 1 year experience with similar technology  (e.g. AWS Redshift, RDBMS)
    • Advanced SQL (group by, having, analytical queries) 
    • Experience in Python or willingness to learn it
    • Ability to perform data manipulations, load, extract from several sources
    • Ability to work with multiple file formats (structural and semi-structural data)

    Nice to have:

    • AWS experience
    • Knowledge/ experience in any of DWH modelling styles (Data Vault or others)
    • Experience in Apache Airflow (DAGs developer or maintainer)
    • Experience in Spark / Java / Javascript
    • Snowflake Certifications
     
    We offer:

    • 100% remote work 
    • B2B contract
    • A competitive salary
    • Multiple opportunities to gain new knowledge from AWS / Data Engineering area on our internal knowledge sharing meetups
    • Money refund for Data Engineering certification expenses
    • Training budget 

    Check similar offers