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Data Engineer

 

About the role


As a Data Engineer in Kindred, you will be part of Data Engineering Team in Data Department, which today has 5 teams. Joining this team you will be working closely with Development teams, Architecture and Business. We love good projects and we all share the vision to be the most data driven organization in the world.


The team is responsible for bringing data from different internal and external sources, as well as data quality , transformation and preparation for business reporting. You will be part of multinational team and you will work on new developments and improving our platform capabilities.

 

What responsibilities will you have?

 

As a member of our Data Engineering team you will work with Agile methodologies with open communication, trust and compassion.

 

  • Help to build new data solutions supporting various data processing in our Data Warehouse
  • Build and develop scalable data ETL processing from different internal and external sources
  • Develop and optimize our Data Warehouse platform
  • Integrate Data Warehouse with Big Data platform
  • Ensure good quality of data is delivered for business use and regulatory compliance
  • Collaborate with our Development teams to ensure the development and usage of data warehouse architecture
  • Collaborate with business and technology stakeholders in order to meet multiple needs for data consumers across the company
  • Bring your experience and ideas to innovative engineering, design and strategy

 

What skills are we looking for? 

 

We are looking for passion and drive, and we are sure you have done some really cool stuff that you want to show us.

 

  • You have professional experience as a Data Engineer
  • Proven understanding of data warehouse design and concepts (Kimball, Inmon)
  • Oracle SQL and PL/SQL development skills
  • Implementation of ETL processes and data structures
  • Handling of large volumes of data sets
  • Full understanding of the data requirements of engineering and business stakeholder
  • Creative and critical thinking, problem solving abilities

 

What do we consider as a plus?

 

  • Experience with HDFS and SQL on Hadoop ecosystem
  • Stream processing technologies such Spark or Kafka
  • Ability to use cloud Data Warehouse solutions

 

Application process

 

Click on the "Apply Now" button and complete the short web form. Please add a covering letter in English to let us know your motivation for applying and your salary expectation. Our Talent Acquisition team will be in touch soon.

 

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Location
Stockholm
Regeringsgatan 25, Stockholm, Sweden, 111 53
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  • Reference Number:
    TEC0906
  • Office:
    Stockholm
  • Type of Employment:
    Full time permanent
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25 - 30 Days Holiday
Private Medical
Wellbeing Allowance
Fresh Fruit
Free Breakfast Friday's
Premium Parental Leave
Eye test
3 days CSR leave
Shares
Pension
Anniversary awards
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