We're looking for a talented and passionate Data Engineer to join Wildlife's IT Operations team in Buenos Aires, Argentina.
You will work in Cloud Economics projects on a big scale. The goal of your role will be to find opportunities and increase our efficiency in how we provision and use technology within Wildlife (we use a lot!).
The mission of the IT Operations team at Wildlife is to have world-class productivity and efficiency across the company by finding and further investigating efficiency opportunities related to better usage and/or provisioning of technology resources; building and maintaining our visualisation layer for costs, usage, and performance reporting.
To build the required resources to enable better governance within Wildlife’s IT Operations: We need to have the correct data, and be able to consistently query it. Our users need to be able to consume this data with an amazing experience.
We know that the work we do has a high impact on our company's success and culture. The right person for this position is curious by nature, and comfortable in a “take the initiative” environment, loves solving problems, and can thrive in a fast and growing business.
What you'll do
- Build the required date lakes in order to be able to consolidate and query information about multiple data sources
- Build visualisation layers to a) get insights about our IT operation, and b) expose that information to a company-wide audience
- Build an internal billing engine for allocating our technology resources costs, or generating optimisations opportunities (rightsizing, RI forecasting, etc.)
- Master CSP billing sources
- Enhance our data discovery capabilities and our cost allocations dashboards
- Build anomaly detection capabilities and a reliable alerting system for detected anomalies
- Develop an internal cost allocation data lake for our most significative technology providers
- Build a rightsizing opportunity generator
- In-source reserved instances process (currently delegated to under a 3rd party)
What you'll need
- +3 years of relevant experience with data quality
- Knowledge and experience with time series analysis and anomaly detection
- Python knowledge
- Data Discovery Tooling experience (Looker, Tableau, etc.) and SQL knowledge
More about you
- Analytical profile
- Good communication skills as you will need to interact with many stakeholders within the organization
- Highly proactive
- Team Player
About Wildlife
Wildlife is one of the leading mobile game developers and publishers in the world. We have released more than 60 titles, reaching billions of people around the globe. Today, we have offices in Brazil, Argentina, Ireland, and the United States. Here, we create games that will excite, intrigue, and engage our players for years to come!
Equal Opportunity
Wildlife is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, colour, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
We're committed to providing accommodations for candidates with disabilities in our recruiting process.
