Tangelo Games

Data & Analytics Engineer

As a Data & Analytics Engineer at Tangelo Games, you'll define data architecture and processes, shaping the company's analytics roadmap.  Responsibilities include building data pipelines (batch and real-time ETL), designing, developing, and maintaining data architecture, liaising with other departments to identify needs and propose solutions, generating analyses on product performance and user behavior, and staying updated on data engineering trends.  The role requires collaboration, problem-solving, and communication skills.

<div class="EditorContent-sc-dc2fd2dc-0 RmbKY"><div class="sc-hLseeU eFIfeu">For over a decade at Tangelo Games, we've been dedicated to positively impacting people's lives around the globe through gaming. We're a team of passionate gamers and developers focused on not just creating games, but fostering meaningful connections—both among players and within our own team.Our dedication to a fantastic workplace culture has earned us the title of a Best Place to Work. Now, we're inviting you to level up your career and join us as our newest Data &amp; Analytics Engineer. In this role, you'll play a crucial part in defining our data architecture and processes, as well as shaping the company's analytics roadmap.<h2 id="your-mission">Your Mission</h2><ul><li>Data Pipelines: Collaborate with team members to build data pipelines and implement both batch and real-time event-based ETL processes</li><li>Data Architecture: Assist on the Design, development, and the maintenance of the company's data architecture and processes.</li><li>Cross-Department Solutions: Liaise with Marketing, Product, and Customer Support to identify needs, define tracking requirements and propose solutions.</li><li>Product Analysis: Generate analyses on product performance, user behaviour, and marketing actions.</li><li>Stay updated: Keep up with data engineering trends, engage in user communities, and share insights with your team.</li></ul><h2 id="your-profile">Your profile</h2><ul><li>Experience: Minimum of 1 year as a Data Engineer or Analytics Engineer.</li><li>Technical Skills: Knowledge of SQL, ETL technologies (especially Airflow and dbt), and Python.</li><li>AWS: Familiarity with constructing and deploying data pipelines and services within AWS, including S3 and Redshift.</li><li>Data analysis: Knowledge of statistical and mathematical methods to analyze datasets and extract insights.</li><li>Data visualization: Experience with Tableau</li><li>Language Skills: Excellent level in both English and Spanish languages</li></ul><h2 id="extra-bonus">Extra Bonus</h2><ul><li>Additional AWS Services: Familiarity with Kinesis, Lambda functions, ECS, Apache Flink..</li><li>Infrastructure Knowledge: Docker and Terraform.</li><li>Educational Background: Bachelor’s degree in a quantitative discipline (Computer Science or Engineering)</li><li>Interactive analytics: Apache Zeppelin</li></ul>What do we Offer⏰ Remote Work Flexibility: Enjoy a flexible schedule for better work-life balance.🌈 Diverse Team: We promote gender equality and inclusion, valuing everyone's unique perspectives.🎉 Team Building Events: Participate in fun activities that strengthen our connections.🏢 Well-Equipped HQ: Modern workspace with a stocked kitchen, beer tap, ping pong table, and e-scooter parking.🎂 Paid Leave on Your Birthday: Celebrate with a paid day off.A sneak peek of our culture:🤝 We Put Community First: We prioritize our community—both players and Tangeleans.🎮 We Own the Game: We treat every project as our own.💪 Challenge is in Our DNA: We seek out and enjoy challenges.🤝 We Play as A-Team: We work together as one team while striving to be the best.🧠 We Are Level-Headed: We make pragmatic decisions with long-term impact in mind.</div></div>