#1 Job Board for tech industry in Europe

  • Job offers
  • Salary calculator
  • Top Companies
  • Geek
    • AWS Senior Data Engineer
    Data

    AWS Senior Data Engineer

    QOOB.DEV

    Wrocław
    Type of work
    Undetermined
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Python

      advanced

      SQL

      advanced

      Apache Spark

      advanced

      Amazon AWS

      regular

      Databricks

      junior

      Snowflake

      nice to have

      Airflow

      nice to have

      Apache Kafka

      nice to have

      DevOps

      nice to have

    Job description

    Online interview
    QOOB.DEV is actively looking for a highly motivated Senior AWS Data Engineer with passion for technology. We’re strongly focused on modern Data Engineering on top of AWS, so being part of us - you will have an opportunity to build large, enterprise Data Lakes, design and implement migrations from on-premise platform to AWS, guide our Customers on cloud data engineering best practices. Our projects contain multiple parts, such as integration of data from multiple sources, applying transformations using Python / PySpark / Glue and SQL and taking care of the performance aspects. The perfect candidate needs to be able to effectively translate business requirements into technical specification, be experienced with Python / PySpark  / Glue and / or SQL and he’s willing to extent his AWS knowledge.


    Your responsibilities:

    • Being able to effectively convert business requirements into technical solutions
    • Promote software development best practices / have an DevOps mindset  
    • Use PySpark, AWS Glue and other services to build scalable data pipelines
    • Building data pipelines with Apache Airflow / AWS Step Functions
    • Designing and building Data Lakes / Data Platforms using modern solution and data architectures
    • Job scheduling, execution and support during UAT/go live.
    • Leverage AWS analytical services to build data applications

    Our requirements:

    • At least 3 years of experience with Python language, understanding the concept of OOP and best coding standards
    • Good knowledge of SQL for data transformation (including complex queries with analytical functions)
    • Ability to perform data manipulations, load, extract from several sources of data into another schema.
    • Ability to work with multiple file formats (JSON, xml, etc.) and analyze data, if required for further processing
    • Willing to learn AWS architecture (we support certification!)
    • Experience with Apache Spark (preferably Databricks) 
    • Snowflake experience would be a plus (or similar cloud DWH technology like e.g. AWS Redshift)
    • Hands-On experience with Apache Airflow would be a plus



    What we offer:

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

    Check similar offers