Data Engineer

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 Master's degree in technical discipline such as Computer Science, Information Systems, Mathematics, Engineering (or another technical field)

Education:
Bachelor or Master's 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
• Have the ability to prioritize workload and handle multiple tasks, and at times meet tight deadlines
• Strong problem-solving and analytical skills