Állás részletei
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Cég neve
Betsson Group
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Munkavégzés helye
Hibrid • Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
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Elvárt technológiák
- AWS ANALYTICS GIT LINUX APACHE DOCKER PYTHON SQL CLOUD SPARK DATABASES API DATABASE UNIX POWERSHELL TROUBLESHOOTING INCIDENT MANAGEMENT
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Biztosított eszközök
- Mobiltelefon
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Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Középiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
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
Troubleshooting problems and incident management with an investigative mindset
Full ownership on projects and tasks assigned and ability to work within a Team
Documenting processes and performing knowledge sharing sessions
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
Troubleshooting problems and incident management with an investigative mindset
Full ownership on projects and tasks assigned and ability to work within a Team
Documenting processes and performing knowledge sharing sessions
Requirements
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
Strong analytical and problem-solving skills
Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault (nice to have)
Familiar with AWS Services such as MSK and EMR (nice to have)
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes (nice to have)
Familiarity with Time-series or Analytics Databases such as Elasticsearch (nice to have)
Familiar with data streaming using technologies such as Kafka (nice to have)
Familiar with software versioning tools like GIT (nice to have)
Familiar with infrastructure scripting like Terraform (nice to have)
Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch (nice to have)
Scripting – Powershell, Unix Scripting (nice to have)
At least 2 years experience in Data Engineering (nice to have)
Excellent verbal and writing English communication skills (nice to have)
Good learning mindset (nice to have)
Able to set priorities and multitask (nice to have)
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
Strong analytical and problem-solving skills
Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault (nice to have)
Familiar with AWS Services such as MSK and EMR (nice to have)
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes (nice to have)
Familiarity with Time-series or Analytics Databases such as Elasticsearch (nice to have)
Familiar with data streaming using technologies such as Kafka (nice to have)
Familiar with software versioning tools like GIT (nice to have)
Familiar with infrastructure scripting like Terraform (nice to have)
Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch (nice to have)
Scripting – Powershell, Unix Scripting (nice to have)
At least 2 years experience in Data Engineering (nice to have)
Excellent verbal and writing English communication skills (nice to have)
Good learning mindset (nice to have)
Able to set priorities and multitask (nice to have)
What we offer
Fitness-wellness allowance
Company mobile phone for private use with 100 GB
Annual HUF devaluation compensation
Hybrid model: 3 days in the office & 2 days from home
Private Health Insurance
Career development
Technical and soft-skill training opportunities
Breakfast, fruits & lunch
Team building events
Company mobile phone for private use with 100 GB
Annual HUF devaluation compensation
Hybrid model: 3 days in the office & 2 days from home
Private Health Insurance
Career development
Technical and soft-skill training opportunities
Breakfast, fruits & lunch
Team building events
Company info
Founded in 1963, Betsson Group is a global sports betting and gaming operator focused on customer experience, responsible operations and sustainable growth.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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