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Wildlife Studios

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Wildlife's Cloud Economics team in São Paulo, Brazil seeks a Data Engineer to build and maintain a data lake, consolidating information from various sources.  Responsibilities include ETL processes, enhancing data discovery, identifying unused data for optimization (sampling, deletion, storage migration), proposing data modeling improvements (table partitioning, migrating to delta tables), and developing a cost allocation data lake for major technology providers.  The ideal candidate is highly analytical, proactive, and results-oriented, contributing directly to company success.  This role demands strong SQL and Python programming skills, AWS experience, and knowledge of Airflow or similar workflow tools.

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 We're looking for a talented and passionate Data Engineer to join Wildlife's Cloud Economics team in São Paulo, Brazil.
The mission of the Cloud Economics team at Wildlife is to have world-class productivity and efficiency across the company by finding and further investigating efficiency opportunities related to the usage and/or provisioning of technology resources.&nbsp;
As a Data Engineer, you will be responsible for gathering all the information needed into the data lake; build and maintain such a lake permanently. You will also play a key role in developing the analyses and algorithms that identify the patterns and type of usage of our data that allow us to find opportunities to improve its usage and storage.
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.&nbsp;
<h2>What you’ll do</h2>
<ul>
<li>Be part of a high-output team, directly contributing to company results;</li>
<li>Build the required date lakes and do the corresponding ETL in order to be able to consolidate and query information about multiple data sources;</li>
<li>Enhance our data discovery capabilities;</li>
<li>Identify unused data and propose how to handle it (sampling, deletion, move to colder classes of storage);</li>
<li>Find and propose data modeling optimizations across the data lake to avoid inefficiencies like duplicated data, data normalization, data types, etc. (table partitioning, migrating to delta tables);</li>
<li>Develop an internal cost allocation data lake for our most significant technology providers.</li>
</ul>
<h2>What you'll need</h2>
<ul>
<li>University degree in courses related to computing such as Computer Engineering, Computer Science or a related field;</li>
<li>Solid experience working as a data engineer on technically challenging problems;</li>
<li>Proficiency in programming with SQL and Python;</li>
<li>Experience creating data pipelines;</li>
<li>Knowledge and experience with AWS;</li>
<li>Knowledge and experience with Airflow or other workflow management tool is a differential.</li>
</ul>
<h2>More about you</h2>
<ul>
<li>You are a resourceful person with a go-getter attitude;</li>
<li>You are passionate about the data industry and thirsty for innovation;</li>
<li>You are not afraid to propose and explore new initiatives;</li>
<li>You are a determined and metrics oriented engineer who wants to deliver results;</li>
<li>You have an analytic mindset and focus on ensuring visibility to your clients and peers;</li>
<li>You are passionate about working on and solving problems;</li>
<li>You are a team player. You're willing to help out wherever needed.</li>
</ul>
<h2>About Wildlife</h2>
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, Finland and the United States. Here, we create games that will excite, intrigue, and engage our players for years to come!
<h2>Equal Opportunity</h2>
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 reasonable accommodations for candidates with disabilities in our recruiting process.

 

 
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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Unity Game Engine

We are seeking a highly skilled Senior Data Engineer with a strong focus on building robust data streaming pipelines and effective payload design for both batch and streaming use cases. The ideal candidate will have over 7 years of experience in data engineering, with proficiency in Java, Apache Beam or Flink, Kafka, and SQL. If you are passionate about data engineering and thrive in a collaborative Agile environment, we invite you to apply!

**Roles And Responsibilities**

* **Data Streaming Pipeline Development:** Build and maintain data streaming pipelines that support both batch and stream use cases, ensuring optimal performance and reliability. Focus on effective payload design to ensure data integrity and performance.
* **Data Analysis And Design:** Conduct data analysis to inform the design of data pipelines and optimize data flows. Develop data models that align with business requirements and ensure scalability.
* **Documentation:** Create and maintain thorough documentation of data pipeline architectures, design decisions, and operational processes.
* **Observability:** Ensure proper observability is embedded into the design of data pipelines, allowing for seamless monitoring and troubleshooting.
* **DevSecOps Mindset:** Embrace a DevSecOps mindset: you build it, you run it, taking ownership of deployed pipelines and managing their performance in production.
* **Agile Participation:** Actively participate in Agile ceremonies, including grooming user stories, estimation, and sprint planning to ensure alignment with project goals.
* **Testing:** Conduct unit, functional, integration, and non-functional testing to validate data pipeline functionality and performance.

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 About the job
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 This job is with Synechron, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.  Overview We are seeking a highly skilled Senior Data Engineer with a strong focus on building robust data streaming pipelines and effective payload design for both batch and streaming use cases. The ideal candidate will have over 7 years of experience in data engineering, with proficiency in Java, Apache Beam or Flink, Kafka, and SQL. If you are passionate about data engineering and thrive in a collaborative Agile environment, we invite you to apply! Roles And Responsibilities Data Streaming Pipeline Development: <ul><li>Build and maintain data streaming pipelines that support both batch and stream use cases, ensuring optimal performance and reliability.</li><li>Focus on effective payload design to ensure data integrity and performance. </li></ul>
Data Analysis And Design <ul><li>Conduct data analysis to inform the design of data pipelines and optimize data flows.</li><li>Develop data models that align with business requirements and ensure scalability. </li></ul>
Documentation: Create and maintain thorough documentation of data pipeline architectures, design decisions, and operational processes. Observability: Ensure proper observability is embedded into the design of data pipelines, allowing for seamless monitoring and troubleshooting. DevSecOps Mindset: Embrace a DevSecOps mindset: you build it, you run it, taking ownership of deployed pipelines and managing their performance in production. Agile Participation: Actively participate in Agile ceremonies, including grooming user stories, estimation, and sprint planning to ensure alignment with project goals. Testing: Conduct unit, functional, integration, and non-functional testing to validate data pipeline functionality and performance. Must-Have Skills <ul><li>Programming Language: Proficient in Java programming language.</li><li>Streaming Technologies: Experience with Apache Beam or Flink for building data processing pipelines.</li><li>Source Code Management: Familiarity with source code management using GitHub.</li><li>API Consumption: Experience in consuming API endpoints for data integration and processing.</li><li>Database Management: Proficient with at least one enterprise-grade relational database (e.g., Oracle, SQL Server, PostgreSQL) and at least one NoSQL database.</li><li>Messaging Systems: Knowledge of Kafka for real-time data processing and streaming.</li><li>SQL Skills: Intermediate level SQL skills for querying and managing data.</li><li>Build Tools: Experience with Maven for project management and build automation. </li></ul>
Preferred Skills <ul><li>Java Version: Familiarity with Java JDK 17.</li><li>AWS Services: Experience with AWS Managed Service for Flink, AWS EKS, AWS Aurora PostgreSQL, and AWS ElastiCache.</li><li>CI/CD Tools: Knowledge of GitHub Actions and Docker for managing deployment pipelines.</li><li>Monitoring and Observability: Proficiency with OpenTelemetry for observability and diagnosing issues within data pipelines.</li><li>Data Solutions: Experience with Debezium for change data capture and streaming of database changes.</li><li>Certification: An Associate-level AWS certification is a plus. </li></ul>
Qualifications <ul><li>Educational Background:</li> <ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>A Master's degree in Computer Science, Information Technology, or a related field is a plus. </li></ul>
</ul>
S YNECHRON'S DIVERSITY &amp; INCLUSION STATEMENT Diversity &amp; Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Candidate Application Notice
 
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