KaleidEO

Principal Satellite Image Processing Engineer

- 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

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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

Lead development of high-performance image processing pipeline for satellite optical sensors. Requires expertise in image processing, computer vision algorithms, satellite optical sensors, cloud-based processing, and team leadership.

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 Seeking a skilled Principal Satellite Image Processing Engineer to spearhead the development of a high-performance image processing pipeline for satellite optical sensors, utilizing advanced algorithms and leading a team of junior and mid-level engineers for precise, real-time analysis. About KaleidEO KaleidEO is investing to launch its fleet of earth observation satellites.SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.The synergy of KaleidEO and SatSure aims to bring a new dimension to the earth observation industry by being the only full-stack company from India, to have satellites in space to deliver insights on the ground. Roles and Responsibilities: <ul><li>Pipeline Architecture &amp; Development: Lead the design, development, and implementation of an efficient, scalable image processing pipeline for satellite optical sensor data, from raw data ingestion to analysis-ready outputs.</li><li>Algorithm Design: Develop and optimize algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.</li><li>Data Preprocessing: Oversee the development of robust preprocessing techniques to handle satellite imagery (noise reduction, calibration, sensor alignment, etc.) for optimal analysis accuracy.</li><li>Advanced Image Analysis: Apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection).</li><li>Integration with Cloud and On-Premise/On-Edge Systems: Develop and implement solutions for cloud-based processing (e.g., AWS, Google Cloud) or hybrid environments to handle large-scale satellite data efficiently.</li><li>Automation &amp; Scalability: Ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.</li><li>Team Leadership: Provide technical leadership and mentorship to a team of engineers and researchers, guiding them through the design and development of components within the processing pipeline.</li><li>Cross-functional Collaboration: Work closely with other teams, including data scientists, software engineers, and GIS specialists, to integrate image processing pipelines into broader systems and applications.</li><li>Quality Control: Ensure the pipeline delivers high-quality, accurate image products by implementing quality assurance practices and validating outputs against ground truth or reference data.</li><li>Research &amp; Innovation: Stay up-to-date on the latest advances in optical remote sensing, image processing technologies, and machine learning applications, and incorporate innovations into pipeline development.</li><li>Documentation &amp; Reporting: Maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.</li></ul>
 Qualifications: <ul><li>Advanced degree (Master’s or Ph.D.) in Remote Sensing, Geospatial Science, Electrical Engineering, Computer Science, or a related field.</li><li>8+ years of experience in satellite image processing, remote sensing, or related fields, focusing on optical sensor data.</li></ul>
 Must-Have: <ul><li>Experience designing and optimizing image processing pipelines for satellite imagery, particularly optical sensors (e.g., multispectral, hyperspectral).</li><li>Proficiency in image processing and computer vision algorithms (e.g., image correction, enhancement, feature extraction).</li><li>Expertise in programming skills like Python, C++, or MATLAB, with experience using image processing libraries (e.g., OpenCV, GDAL, scikit-image).</li><li>In-depth understanding of satellite optical sensors (e.g., Landsat, Sentinel-2, WorldView) and the processing challenges associated with their data.</li><li>Experience with cloud-based processing platforms (e.g., AWS, Google Cloud, Microsoft Azure) and distributed computing for large-scale data.</li><li>Experience in leading engineering teams and managing complex technical projects.</li><li>Familiarity with geospatial data formats and tools (e.g., GeoTIFF, HDF, QGIS, ArcGIS).</li><li>Understanding of machine learning/deep learning techniques for image analysis (e.g., segmentation, classification, object detection).</li></ul>
 Good to Have: <ul><li>Expertise in atmospheric correction models and radiometric calibration techniques.</li><li>Experience working with hyperspectral data and advanced spectral analysis techniques.</li><li>Prior experience with Synthetic Aperture Radar (SAR) processing or integrating optical and radar data.</li><li>Familiarity with international satellite data sources (e.g., MODIS, Pleiades, SPOT) and commercial data providers.</li><li>Contributions to open-source remote sensing or image processing projects.</li><li>Knowledge of high-performance computing (HPC) environments or GPU-accelerated computing for image processing tasks.</li></ul>
 Benefits: <ul><li>Medical Health Cover for you and your family including unlimited online doctor consultations.</li><li>Access to mental health experts for you and your family.</li><li>Dedicated allowances for learning and skill development.</li><li>Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves.</li><li>Twice a year appraisal.</li></ul>
 Interview Process: <ul><li>Introductory call</li><li>Assessment</li><li>Presentation</li><li>Interview rounds (ideally up to 4-5 rounds)</li><li>Culture Round / HR round</li></ul>

 
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