Ericsson

Data Scientist

Software Developer III

Senior Software Developer

Senior Data Scientist

Automation Engineer

Low Code Architect

Lead - Global HR Direct

Engineer-TXN

- 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! 📋 &nbsp;- 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 - Average time to complete: 7 to 10 minutes

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. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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. - 9 questions: 9 Multiple Choice - Minimum score needed to qualify: 80% - Average time to complete: 5 to 10 minutes

Wildlife Studios

Data Engineer

Wargaming


Technical 3D Artist

UI/UX Designer

UI Copywriter

Social Discovery Group

Senior ML Engineer

Senior .NET Developer

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.

Explore gaming industy jobs in one of the leading Game Studios.

Administrative Assistant

IT Cloud Governance Analyst

Tax Compliance Analyst

IT Cloud Planning Analyst

Product Manager Intern

Procurement Intern

Tax Planning Specialist

Senior Backend Engineer

Senior Site Reliability Engineer

<div id="content" class="">
 

 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.

 

 
</div>

Paid - Game Dev Bootcamp

Paid - Fullstack Game Development Bootcamp

Follow Mayank - career advice

Follow Mayank Grover for game development resources

For Laid-Off Gaming Professionals

Scholarship for Laid Off Gaming Professionals

For College Students

Scholarship for College Students

Free | C# | Midnight Pizza Fight

Free | C++ | Lethos

Free | C++ | Pong

Paid - Game Programming Patterns

Paid - Game Programming with Programming Patterns

Scholarship for Laid-Off Gaming Professionals

Follow Abhishek - tech content

Follow Abhishek Smith for game programming content

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

As a Data Scientist at Ericsson, you will develop and deploy machine learning models (chat-bot, XGBoost, random forest, NLP, computer vision, generative AI) using Python, SQL, Docker, Kubernetes, and PySpark.  You will collaborate with cross-functional teams, translating business needs into analytical solutions and deploying models to production environments.  The role requires strong programming skills, expertise in data science methodologies, and experience with cloud platforms (preferably GCP).  Responsibilities include data manipulation, analysis, model evaluation, ensuring scalability and reliability of deployed models, and communicating findings to both technical and non-technical audiences.

<div class="jobs-box__html-content jobs-description-content__text t-14 t-normal
 jobs-description-content__text--stretch" id="job-details" tabindex="-1">
 <h2 class="text-heading-large">
 About the job
 </h2>

 <div class="mt4">
 
 Join our Team About Ericsson Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. Our innovative solutions empower individuals, businesses, and societies to explore their full potential in the Networked Society. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments. Key Responsibilities Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Qualifications Bachelor's degree in computer science, Statistics, Mathematics, or a related field. A master's degree or PhD is preferred. 8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. ]]&gt;
 
 </div>
 </div>