The Wow
Our Data Engineering team is looking for an Engineer specialised in Data Streaming.
In this role, you will contribute in the design and development of Real-Time Data Processing applications to fulfill the business needs.
For any Technical Data wiz out there, Betsson Group is the next step! This is the perfect environment to put your skills to the test by building a consolidated Data Platform with innovative features and most importantly joining a bunch of talented and fun group of people.
A taster of what you will be involved with:
- Development and Maintenance of Real-Time Data Processing Applications by using frameworks and libraries such as: Spark Streaming, Spark Structured Streaming, Kafka Streams and Kafka Connect;
- Manipulation of Streaming Data: Ingestion, Transformation and Aggregation;
- Keeping up to date on Research and Development of new Technologies and Techniques to enhance our applications;
- Collaborating closely with the Data DevOps, Data-Oriented streams and other multi-disciplined teams within Betsson;
- Comfortable working in an Agile Environment involving SDLC;
- Familiar with the Change and Release Management Process;
- 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 with the rest of the team.
You're good with
- Have strong knowledge in Scala;
- Knowledge or familiarity of Distributed Computing like Spark/KStreams/Kafka Connect and Streaming Frameworks such as Kafka;
- Knowledge on Monolithic versus Microserivce Architecture concepts for building large-scale applications;
- Familiar with the Apache suite including Hadoop modules such as HDFS, Yarn, HBase, Hive, Spark as well as Apache NiFi;
- Familiar with containerization and orchestration technologies such as Docker, Kubernetes;
- Familiar with Time-series or Analytics Databases such as Elasticsearch;
- Experience with Amazon Web Services using services such as S3, EC2, EMR, Redshift;
- Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana;
- Familiar with software versioning tools like Git;
- Comfortable working in an Agile environment involving SDLC;
- Have a decent understanding of Data Warehouse and ETL concepts – familiarity with Snowflake is preferred;
- Have strong analytical and problem-sovling skills;
- Good learning mind-set;
- Can effectively prioritize and handle multiple tasks and projects.
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you're a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you'll fit right in.
Challenge accepted?
Check out the Betsson Group Blog to find out what our employees are talking about
If you are interested to learn more, please apply with your CV in English.
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