Betsson Group
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Betsson Group. Skills: Data pipelines, AWS, Spark Structured Streaming, Kafka. designing and developing platform. improve systems”
Industry & Context.
analytical and problem-solving skills; troubleshoot; investigative mindset
What They're Looking For.
Must Have
modern cloud database technologies, orchestrating data pipelines, AWS, Apache, SQL, Data Integration Tools, Python, AWS Services like S3/Lambda/API Gateways/DMS/RDS, Microsoft, Linux/Cloud, analytical and problem-solving skills, verbal and writing English communication, learning, set priorities and multitask
Nice to Have
Data Warehousing concepts, data modelling techniques, Inmon, Kimball, Data, AWS Services such as MSK, containerization and orchestration technologies, Docker, Kubernetes, Time-series or Analytics Databases, data streaming, software versioning tools, infrastructure scripting, Data Monitoring and Visualisation tools, Prometheus, Grafana, Powershell, Unix
What You'll Do.
designing and developing platform
design new data pipelines
batch and real-time loading
real-time visualisations
Maintaining and evolving data
Building processes to ingest data
Development and Maintenance of applications
Applying transformations to data
Ensuring data quality
verifying data consistency
Keeping up to date on research
troubleshoot problems
troubleshoot incidents
Full ownership on projects
document well processes
perform knowledge sharing sessions
How You'll Work.
Team & Collaboration
work within a team
Communication Scope
verbal and writing English communication
Process & Methodology
Full ownership on projects
Full Job Description
The Wow This role will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. Within this capacity you will have the chance to design new data pipelines, maintain platforms hosted on data streams for batch and real-time loading and real-time visualisations. A taster of what you will be involved with: Maintaining and evolving our existing data platform; Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect. Development and Maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams. Applying transformations to data streams; Being involved in data modelling following standards e. g. Inmon, Kimball, Data Vault; Ensuring data quality by verifying data consistency and accuracy; Keeping up to date on research and development of new technologies and techniques to enhance our data platform; Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management; Full ownership on projects and tasks assigned together with being able to work within a Team; Able to document well processes and perform knowledge sharing sessions What we are looking for: Must haves: Experience with modern cloud database technologies such as Snowflake; Experience with orchestrating data pipelines using Airflow; Experience with AWS Glue; Experience with Apache Iceberg; Experience with SQL, and Data Integration Tools Experience with any programming language like Python or Scala; Knowledge on AWS Services like S3/Lambda/API Gateways/DMS/RDS; Development experience in both Microsoft, and Linux/Cloud environments; Have strong analytical and problem-solving skills Nice to have: Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault; Familiar with AWS Services such as MSK and EMR; Familiarity with containerization and orchestrat
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