SciPlay, is a global leader focused in providing an ever-expanding portfolio of robust iGaming and Social Casino solutions to the global gaming industry. To put it simply - we make Mobile and Facebook games that are fun to play, fun to make, and we're growing like crazy! SciPlay's reach is made possible by the expertise of our rock star teams and game makers. Want to be part of a fast-paced company that lands in the Top 1% of Social Casino games? See more details below!
Position Summary
Qualifications
Description:
SciPlay is a leading developer and publisher of digital games on mobile and web platforms, providing highly entertaining free-to-play games that millions of people play every day.
We're looking for a Data Engineer to work on our massive data processing pipeline and lead our data lake and data warehouse building, to help us deliver more insights and scale our data infrastructure. You will have a chance to contribute to the company's evolving culture, bring innovative approaches and learn from your talented colleagues.
Essential Job Functions:
Designs and develops programs and tools to support data ingestion, curation, and provision of complex enterprise data to achieve analytics and reporting on our current technology stack
Designs and builds data extracts, integrations, and transformations
Provides successful deployment and provisioning of data solutions to required environments
Designs and builds data architecture and applications that successfully enable speed, quality, and efficiency pipelines
Interacts with cross-functional customers and development team to gather and define requirements
Develops understanding of the data and builds business acumen
Reviews discrepancies in requirements and resolves with stakeholders
Identifies and recommends appropriate continuous improvement opportunities and ensures integrations are automated and have proper exception handling
Key team member of project team designing and deploying a ground up cloud data pipeline Bachelor or Masters degree in technical discipline such as Computer Science, Information Systems, Mathematics, Engineering (or another technical field)
Requirements: Education:
Bachelor or Masters degree in technical discipline such as Computer Science, Information Systems, Mathematics, Engineering (or another technical field).
Required Experience:
3 years as a Data Engineer on a data, analytics, or data science team
Experience with building streaming pipelines at scale using Spark
Advanced experience with AWS cloud services
Advanced working SQL experience as well as performance turning
Experience with data pipeline workflow management tools such as Airflow
Experience working with agile methodologies and working in cross-functional teams
Required Knowledge, Skills, And Abilities:
People person, team player with a strong can-do mentality
Proficient in data modeling principles
Proficiency in Snowflake and other data warehousing solutions (Redshift/Big Query)
Proficiency in Databricks
Advanced knowledge in Python
Knowledge and ability to write, test, and debug APIs
Must be proactive, demonstrate initiative, and be a logical thinker
Must be an inquisitive learner and have a thirst for improvement
Ability to understand and apply customer requirements, including drawing out unforeseen implications and making design recommendations
Strong facilitation and consensus building skills
Strong oral and written communication skills, ability to communicate by simplifying complexity
Ability to provide work guidance to junior level developers
Enjoys higher learning and keeps track of industry best practices and trends
Takes advantage of process and system improvement opportunities through acquired knowledge
Bre proactive requiring minimal supervision
Have strong time management ability and work organization skills
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