**About Us:**Betty is an innovative entertainment company pioneering at the intersection of real-money online casinos and casual mobile gaming.
Betty Canada is a scale up company accredited by the Alcohol and Gaming Commission of Ontario (AGCO) as a B2C operator in February 2023, we’ve set a new standard in the industry.
Our mission is to redefine the online casino experience by offering a uniquely transparent environment where players can relax, unwind, and enjoy themselves safely. We are committed to accessibility, fairness, and inclusivity, fostering a community of like-minded individuals who value ethical gaming practices and prioritize our players’ safety and enjoyment above everything else.
Our Values:
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We are honest - we value honesty in all aspects.
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Bring the Olives - we offer premium customer experience.
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Think Big - we believe in always striving for more.
Key Responsibilities:
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Collaborate with cross-functional teams, including Engineering, and business stakeholders, to define and understand data requirements.
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Develop and maintain scalable data pipelines for loading data from different sources into the DWH.
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Optimize and fine-tune existing data processes for improved performance.
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Collaborate with infrastructure teams to implement scalable and secure data platform.
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Create and maintain reports for regulatory requirements and internal business needs.
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Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities.
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Mentor junior colleagues, providing guidance in data engineering best practices.
Requirements:
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Bachelor’s degree in Computer Science, Data Science, or a related field.
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3+ years of experience in a data warehouse engineering or related role.
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Experience with cloud data warehousing technologies, such as Amazon Redshift, Snowflake, or Google BigQuery.
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Good programming skills in Python.
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Proficiency with SQL and data modelling.
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Experience with pipeline orchestration tools (e.g., Airflow, Dagster).
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Understanding of CI/CD principles and experience implementing automated deployment processes.
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Excellent analytical and problem-solving skills.
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Strong communication and teamwork skills.
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Fluency in English.
Nice to have:
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Experience with DBT.
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Experience with stream processing frameworks (e.g., Apache Kafka).
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Experience with containerization technologies (e.g., Docker, Kubernetes).
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Experience with data visualization tools (e.g., Looker, Tableau, Power BI).