What's the position?We are looking for a Data Engineer to join our quickly growing product and technology teams. This position will report into our reporting team which will build data automation applications to ensure accurate and timely reports. Beyond reporting, this position has potential to grow to touch all aspects of the real money gaming operation, from customer service to data science applications.
As a Staff Data Engineer, you will:
- Be a strong technical person on our team who helps drive innovation
- Be responsible for producing and maintaining critical data deliverables / pipelines
- Be technically talented, able to contribute quality code
- Be responsible for the quality, scope, and timeliness of all your deliverables
Because we operate with a startup mindset, we will be reliant on your technical skill, but also your passion and ownership over all aspects of your work. We are looking for individuals passionate about data in general, data technologies, and the use of these technologies to automate business processes.
What are we looking for?We are looking for an engineer who is willing to tackle problems with innovative ideas and quality technical implementations. We believe the perfect candidate isn't interested in just what we're building right now, but wants to understand where we're going and how it impacts the downstream consumer or customer to ensure everything we create moves us closer to our goal: to optimize all aspects of online gaming and providing the best overall customer experience.
The ideal candidate will have:- Degree in computer science, a related field, or equivalent work experience (8+ years)
- Strong communication and collaboration skills (both written and verbal)
- Proven track record at using technology to automate data processes
- Strong SQL skills, including Jinja templating / DBT
- Experience with Snowflake and Airflow (Astronomer)
- Experience with Python including exposure to data science packages (NumPy, Pandas, scikit-learn)
- Experience manipulating, processing and extracting value from large, disconnected datasets (Spark)
- An understanding of AWS Cloud technologies and how to create scalable applications
Exposure to and interest in the following technologies:- AWS Serverless and serverless-supported languages
- SQL and/or NoSQL experience (ex, MySql, Cassandra, DynamoDB, Snowflake)
- Streaming technologies (Amazon Kinesis, Kafka)
- Message Queues (SQS, RabbitMQ, ActiveMQ)
Comfort working within an agile development cycle and exposure to:- Linux development
- Git and versioning software
- Build systems (Maven, SBT, Gradle, etc) and common build patterns
- Experience automating data flows and reporting in a regulated environment a plus
What's in it for you?We offer our employees more than just competitive compensation. Our team benefits include:
- Competitive pay and benefits
- Flexible vacation allowance
- Startup culture backed by a secure, global brand
