Senior Data Engineer | Betty CA

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

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