zimad

Data Engineer

Graphic Designer

Head of Performance Marketing / CMO

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ZiMAD, a mobile game developer and publisher based in Florida, is seeking a Data Engineer to join its BI Infrastructure team. The role involves designing reliable data pipelines, unifying data from various sources including in-game activity events and partner data, and developing optimal data models for game and marketing analytics. Responsibilities include data enrichment, transformation, validation, and ensuring data quality. The ideal candidate will have 3+ years of experience as a Data Engineer, understanding of mobile app metrics, strong SQL query skills, and hands-on experience with ETL/ELT systems and building data loaders.

Are you passionate about your work and want to pursue your dreams? Join the&nbsp;ZiMAD&nbsp;team, and let’s collaborate to create exceptional games together! ZiMAD, a leading mobile game developer and publisher based in Florida, is on a mission to expand its successful mobile game portfolio to the web. By porting its popular mobile titles to online platforms, ZiMAD aims to attract new users, monetize them effectively, and, most importantly, guide them back to its mobile properties for a seamless cross-platform experience. We’ve forged partnerships with internationally renowned IPs (like Disney, Nickelodeon, LIFE, Sony Pictures etc.) and strive to develop games that sharpen mental well-being and deliver remarkable user experiences. We are looking for a Data Engineer to join our BI Infrastructure team. Responsibilities: <ul> <li style="font-weight: 400;" aria-level="1">Design reliable data pipelines</li> <li style="font-weight: 400;" aria-level="1">Unify data from various sources, including in-game activity events and aggregated partner data</li> <li style="font-weight: 400;" aria-level="1">Develop optimal data models for game and marketing analytics</li> <li style="font-weight: 400;" aria-level="1">Handle data enrichment, transformation, and validation</li> <li style="font-weight: 400;" aria-level="1">Take responsibility for data quality</li> </ul> Requirements: <ul> <li style="font-weight: 400;" aria-level="1">3+ years of experience as a Data Engineer</li> <li style="font-weight: 400;" aria-level="1">Understanding of mobile app metrics</li> <li style="font-weight: 400;" aria-level="1">Strong skills in writing and optimizing complex SQL queries</li> <li style="font-weight: 400;" aria-level="1">Hands-on experience with ETL/ELT systems</li> <li style="font-weight: 400;" aria-level="1">Experience building data loaders</li> <li style="font-weight: 400;" aria-level="1">Strong analytical skills and a data-driven mindset</li> </ul> Will be a plus: <ul> <li style="font-weight: 400;" aria-level="1">Experience with Google BigQuery, Looker Studio, or Apache Superset</li> <li style="font-weight: 400;" aria-level="1">Familiarity with MMP platforms such as AppsFlyer, Adjust, etc.</li> <li style="font-weight: 400;" aria-level="1">Experience working with ClickHouse</li> <li style="font-weight: 400;" aria-level="1">Knowledge of Golang or Python</li> <li style="font-weight: 400;" aria-level="1">Experience with tools like dbt or Cube</li> </ul> What we offer: <ul> <li>Opportunity to work for ZiMAD, a US company with a diverse portfolio of global free-to-play (F2P) projects with a multi-million monthly user base</li> <li>Involvement in the entire product development cycle</li> <li>Career growth prospects within an international company</li> <li>Remote work opportunities</li> <li>Flexible working schedule</li> <li>Bonuses based on the achievement of KPIs and financial results of projects</li> <li>Paid conferences, training (including language courses), and workshops</li> <li>Opportunity to have sessions with psychologists to improve your mental health and well-being</li> <li>Participation in charity projects</li> </ul>

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<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Job Overview:</h3>We are looking for a talented and passionate Data Engineer to join our fast-paced and growing team. You will play a crucial role in building robust data infrastructure, optimizing data pipelines, and supporting ML/AI initiatives. If you're excited about working with large datasets, cloud data platforms, and applying ML/AI concepts to real-world problems, we want to hear from you.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Key Responsibilities:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design, develop, and maintain scalable and efficient data pipelines using SQL and BigQuery.</li><li class="leading-relaxed">Collaborate with data scientists and ML engineers to support end-to-end machine learning pipelines.</li><li class="leading-relaxed">Work closely with stakeholders to understand data needs and deliver actionable insights.</li><li class="leading-relaxed">Implement and optimize ETL/ELT processes to support analytics and AI applications.</li><li class="leading-relaxed">Deploy and monitor ML models in production environments.</li><li class="leading-relaxed">Ensure data quality, security, and governance across the entire data lifecycle.</li><li class="leading-relaxed">Work in an agile environment to deliver fast iterations and rapid deployments.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Required Skills and Experience:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">3–6 years of experience in Data Engineering or similar role.</li><li class="leading-relaxed">Strong expertise in SQL for data manipulation and performance tuning.</li><li class="leading-relaxed">Hands-on experience with Google BigQuery and AWS cloud services.</li><li class="leading-relaxed">Proficiency in Python, especially for data processing and ML/AI integration.</li><li class="leading-relaxed">Familiarity with machine learning workflows and deployment practices.</li><li class="leading-relaxed">Experience with data orchestration tools like Airflow or similar.</li><li class="leading-relaxed">Good understanding of data modeling, warehousing, and data lakes.</li><li class="leading-relaxed">Ability to write clean, scalable, and maintainable code.</li></ul>

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