Let's start with the role

We’re looking for an Analytics Principal Engineer to join our Analytics teams. You will help teams devise elegant and performant solutions to real business problems, guide them in designing and implementing these solutions in code, and teach coding, testing, and performance analysis techniques, while also carrying out code reviews. You will frequently attend teams' scrum events (especially refinements) and help teams' product owners better understand the technical challenges involved. Production problems are usually escalated to the Principal Engineer for triaging before landing in a team's backlog. Principal Engineers should also stay up to date on the latest technologies, actively drive their adoption, and lead Proof of Concept (PoC) initiatives.

Our Analytics Engineering teams consist of members with diverse backgrounds and our tech stack includes, but is not limited to:

• Databricks, Delta Lake, dbt Cloud
• SQL Server, Azure Data Warehouse
• SSIS, SSAS, SSRS
• Spark, Apache Airflow, Apache Kafka

As an Analytics Principal Engineer, you will

• Lead team enablement and Proof of Concept (PoC) initiatives;
• Design, implement, and optimize real-time data pipelines and streaming architectures.
• Orchestrate plans by motivating other team members and collaborating closely to achieve them;
• Break efforts down and guide the analytics engineers through gaps to lead them to sound technical solutions;
• Share technical expertise and knowledge. Present practices, innovations, and inventions inside and outside of the organization;
• Partner with management to find new potential talent;
• Mentor engineers to take them to the next level of their careers;
• Set up cross-organization engineering best practice standards and guidelines. Create a culture where contribution patterns and quality are paramount. Partner closely with teams to implement these standards.

What you’ll bring

• 8+ years of hands-on experience in writing complex, highly optimized SQL code for data manipulation and reporting;
• 5+ years of experience in ETL/ELT, Data Modeling, data products and Real time Analytics;
• Experience in designing event-driven architectures;
• Experience with Azure Data platforms such as Synapse Analytics, Data Lake, and Databricks;
• Hands-on experience with dbt for analytics engineering;
• Knowledge of Data Governance;
• Good people skills;
• Team player, analytical thinker, and problem solver, with ability to self-organize;
• Fast learner - you will need to get up to speed on business, people and teams, infrastructure and the technologies used, as quickly as possible.

It’s a plus if you bring

• A bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience;
• Experience in programming languages preferably in Python or Scala;
• Experience working with modern OLAP systems (Pinot, ClickHouse, StarRocks);
• Experience with data observability tools such as Great Expectations, Monte Carlo, Validio, or Soda;
• Exposure to CI/CD;
• Exposure to an Agile team-working environment.

Kaizen Gaming Perks

🏃 A buddy will support you with your onboarding.
💸 Competitive salary package and bonus scheme.
👩‍⚕️ Health and life insurance for you and your family.
📚 Unlimited access to Udemy & continuous training for all your learning and development needs.
💰 Monthly allowance for lunch & commuting expenses.
💻 Nice rigs - 2.5K monitor, latest i7, tons of RAM, fast SSD.
⭐ Clear career paths & a developmental 360° feedback framework.

 

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