Senior Data Engineer | Betty CA

Job description

**About us:** Betty is an innovative entertainment company pioneering at the intersection of real money online casino and casual mobile gaming. 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:** - **We are honest**- we value honesty in all aspects. - **Bring the Olives** - we offer premium customer experience. - **Think Big** - we believe in always striving for more. **Key Responsibilities**: - Collaborate with cross-functional teams, including Engineering, and business stakeholders, to define and understand data requirements. - Develop and maintain scalable data pipelines for loading data from different sources into the DWH. - Optimize and fine-tune existing data processes for improved performance. - Collaborate with infrastructure teams to implement scalable and secure data platform. - Create and maintain reports for regulatory requirements and internal business needs. - Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities. - Mentor junior colleagues, providing guidance in data engineering best practices. **Requirements:** - Bachelor's degree in Computer Science, Data Science, or a related field. - 3+ years of experience in a data warehouse engineering or related role. - Experience with cloud data warehousing technologies, such as Amazon Redshift, Snowflake, or Google BigQuery. - Good programming skills in Python. - Proficiency with SQL and data modelling. - Experience with pipeline orchestration tools (e.g., Airflow, Dagster). - Understanding of CI/CD principles and experience implementing automated deployment processes. - Excellent analytical and problem-solving skills. - Strong communication and teamwork skills. - Fluency in English. **Nice to have:** - Experience with DBT. - Experience with stream processing frameworks (e.g., Apache Kafka). - Experience with containerization technologies (e.g., *Docker*, Kubernetes). - Experience with data visualization tools (e.g., Looker, Tableau, Power BI). **What we offer:** - Competitive salary - Premium Health insurance - Career and skills development opportunities - Fun and collaborative team environment - New modern office space