Data Engineer at Flutter Studios developing reliable platforms for in-house gaming content. Engaging with technologies like Big Data and Event-Driven Architecture in a collaborative team.
Responsibilities
Be ready to work with Architects and Technical Leads in order to perform system & gap analysis with given business specifications and define functional and non-functional requirements for the software components, where SDLC and best-practices are self-implied.
Be involved in researching, producing POCs and evaluating new methodologies & technologies that improve quality, reliability, scalability, security, and performance of Flutter Studios Technology.
Deliver projects within agreed deadlines with a high degree of confidence and quality while taking responsibility for the delivered products.
Prove to be an effective team player in a Scrum Team while understanding and contributing to the agile delivery process and following the team’s ways of working.
Design and implement low-latency, high-availability and performant applications.
Participate in the software development process from the analysis phase to release, including: design, document, test and develop solutions by emphasizing code review & peer design activities.
Write reusable, testable, and efficient code while also inspiring other data engineers to do so.
Implement and integrate data storage solutions.
Be proactive in the identification of opportunities to improve and rationalize applications and processes across the whole Data team, working in close collaboration with other Data team members and subject matter experts.
Ensure that accurate and effective support documentation is maintained to reflect code development and changes.
Be responsible for effectively escalating any risks & issues identified in a timely manner to the Data Delivery Manager while also providing resolution and mitigation strategies.
Requirements
Bachelor’s degree or technical diploma in computer science, computer technology or related field.
3+ years experience in software development with involvement in the Data Engineering field.
Strong experience with Event Driven Architecture, Data Streaming and Big Data.
Very good experience in NoSQL, with an understanding of concepts such as Data Clustering, Data Replication and Partitioning Strategies.
Very good ability to write SQL is essential.
Demonstrable experience with high-volume data loads.
A good understanding of ETL processing in highly transactional OLTP systems, Event Modelling, Data Lake, Dimensional Data Modelling, Data Composition, Data Governance, Data Warehouse, as well as Designing and Applying Schema, while having experience with Schema-on-write & Schema-on-read.
Experience with log-based messaging systems, with experience in one of the following: Kafka (preferably), Kinesis or Pulsar.
Very good understanding of ring-based databases, having worked with one of the following: Cassandra (preferably), DynamoDB or Riak.
Proven experience with map-reduce technology, with experience in either of the following technologies: Scala Spark (preferably) or PySpark.
Understanding of stream processing frameworks, with experience in one of the following: Spark Steaming, Kafka Streams or Flink/Kinesis.
A good understanding of BI reporting, with experience in one of the following or similar: Looker, Tableau or Quick Sight.
Good experience with AWS data services within cloud technology, in any of the following tools: S3, Redshift, Glue, Lake House, Rds, Emr or Athena.
Demonstrable experience of object oriented in either Python or Java.
A proven ability to influence technical decisions in a fast-moving commercial environment.
Unit testing knowledge and practice.
Experience with Continuous Integration / Continuous Delivery tools.
Excellent people skills, communication interpersonal skills, high energy.
Proactive work ethic with the ability to deliver results and meet challenging deadlines.
Passion & flexibility to work the hours required to see projects to completion in a timely, accurate & efficient manner.
Self-motivating.
Attention to detail with a high degree of acknowledgement in work produced.
Proven ability & desire to innovate.
Very strong analytical skills.
Enthusiasm for the software development process.
Good English language skills.
Having Knowledge of the online gaming/gambling industry is a plus.
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