We're looking for a talented and passionate Data Engineer to join Wildlife's Analytics & Insights team in São Paulo, Brazil.
Analytics is an integral part of the product development cycle at Wildlife, informing every day-to-day decision from priorities to the release or not of a new feature. It is also fundamental for the management of the company as a whole, guiding resource allocation and investment decisions based on measured performance. Our products and services speed up the analytical work of game PMs and data scientists, as well as bring transparency to business performance for company executives and game general managers.
We believe that the data we use and how we look at it creates incentives that deeply influence our company's operation.As a Data Engineer, you will have a key role in designing and maintaining all of our core data pipelines that handle billions of events on a daily basis and are used across the company. You will have end-to-end ownership from the ETLs to the dashboard itself, while you will be supported by a high-performance multidisciplinary team and mature data stack.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
- Be part of a high-output team, directly contributing to company results;
- Build the required ETLs in our data lake in order to be able to consolidate and query information about multiple data sources;
- Enhance our data discovery capabilities;
- Improve our Data Quality validation processes, ensuring all the data we process and make available is correct and trustworthy;
- Identify opportunities in our clusters (right-sizing, instance types, usage of fleets, etc);
- Find and propose new developments and optimizations ranging between infrastructure, operations, data models, and analytics.
What you'll need
- University degree in courses related to computing such as Computer Engineering, Computer Science or a related field;
- 1+ years of experience working as a data engineer on technically challenging problems;
- Experience with SQL;
- Experience creating data pipelines;
- Knowledge and experience with Python and Spark;
- Knowledge and experience with AWS;
- Knowledge and experience with Airflow or other workflow management tool is a differential.
More about you
- You are a resourceful person with a go-getter attitude;
- You are passionate about the data industry and thirsty for innovation;
- You are not afraid to propose and explore new initiatives;
- You are a determined and metrics oriented engineer who wants to deliver results;
- You have an analytic mindset and focus on ensuring visibility to your clients and peers;
- You are passionate about working on and solving problems;
- You are a team player. You're willing to help out wherever needed.
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.
