<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 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 </strong>- we value honesty in all aspects.</li>
<li><strong>Bring the Olives</strong> - 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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