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Data Engineer

Sofia, Bulgaria

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

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