Senior Data Engineer | Betty CA

About Us:

Betty is an innovative entertainment company pioneering at the intersection of real-money online casinos and casual mobile gaming.

Betty Canadais 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:

• 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

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