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Data Engineer - ETL Developer (remote possible)

  • opolskie
  • Specjalista
  • 12 - 15 tys. zł brutto
  • 13.03.2019

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

    Pitney Bowes, a global technology company, provides shipping and mailing solutions, data management software, and location intelligence offerings, powering billions of physical and digital transactions in the connected and borderless world of commerce.

    As a Data Engineer, you will be working with our Business Intelligence Team to maintain and develop the data warehouse. You will be responsible to build scripts, tools, infrastructure, frameworks, and services to ensure the data warehouse captures data in a comprehensive and timely manner and that ongoing improvement, enhancements and changes to the product are reflected in the data warehouse. You will also work with our Business Analysts to add meta-data layers to improve and enhance reporting and analytics practices.

    Data Engineer/ETL Developer
    – remote possible  

    Workplace: Bielsko-Biala / remote 

    You will:

    • Incorporate the use of new data content sources, technologies, and design patterns into the Data Warehouse
    • Design, develop and optimize data objects and ETL/ELT as part
      of the data movement processes and transformation processes that update the Data Warehouse
    • Develop technical specifications, designs, develops, tests, implements, and supports optimal data solutions
    • Document data mappings, data dictionaries, processes, programs
      and solutions as per established standards for data governance
    • Work with business analysts and the different business units to assess
      and troubleshoot potential data quality issues at key intake points such
      as validating control totals at intake; perform problem assessment, resolution and documentation in existing ETL packages, mapping
      and workflows in production
    • Development of BI semantic layer for enterprise reporting
    • Support ETL team with ongoing development, tuning and maintenance
      of ETLs

    Your background:

    • 3+ years of experience writing, tuning and debugging ETL/ETL solutions; 3+ years of experience working with high volume data bases and/or big data
    • 1+ years of experience with Amazon Web Services (AWS)
    • 1+ years of experience developing content in snowflake
    • 1+ years working with open source Big Data technology stacks (Apache Spark, Kafka, Data Bricks, HBase, Hadoop/HDFS, Hive, Drill, Pig, Nifi, etc.) or commercial open source Big Data technology stacks (Hortonworks, Cloudera, etc.)
    • Deep knowledge of SQL including (but not limited to) SQL server
    • Familiar with the concepts of Dimensional Modeling, Data Warehousing, Data Lakes and Data Streaming
    • Familiar with ETL tools such as Snaplogic, Talend, Informatica or SSIS
    • Background in enterprise report development and development
      of semantic layers for BI. (Power BI, Tableau, SSRS, SSAS a plus)
    • Comfortable with learning and adopting new tools and technologies


    We offer:

    • Permanent employment contract
    • Salary: 10 000 - 15 000 gross PLN/month depending on experience
    • Work in our office in Bielsko-Biala and/or opportunity to work partially
      or even fully remotely
    • Flexible work schedule
    • Opportunities to grow and develop your career: personal development plan, access to e-learning platforms (Udemy, Lynda.com), knowledge sharing
    • Private medical care, life insurance, Multisport card, Employee Referral Program (up to 1500 USD)
    • Opportunity to master English skills with native speakers within working hours
    • Office in the city centre with free parking space, bike parking, shower
    • Relax area: ping-pong, play room, table football
    • Team building events

    No sure if you have enough experience to meet the challenge, but still willing
    to learn and join our Commerce Services Business Intelligence and Analytics team? Send us your application and we are happy talk about the possibilities. Think big!