What we offers

Top-notch data talent to boost your development capabilities

Idatha Team
Accelerate your projects

Let us help you with your next project. We integrate with your technical team in a dynamic way, to provide you with solutions in a short term.

Fast & Flexible

Fast and flexible Data staff augmentation - scale up or down

Team Integration

Seamless team integration at any stage of your System Development


Quickly integrate outstanding engineers that increase your team's capacity

Grow your team and expand your software development capabilities with a reliable tech partner by your side.
GMT -3
Favorable Time Zone

Beneficial for both, Americas and Europe

Senior Engineers
10+ years of experience

experience in multiple technologies and domains

Our Staff Augmentation Team

Data Scientist Knowledge

- Design and develop predictive models (R, Python, Pandas)
- Strong experience in languages, libraries and data analysis tools
- Machine learning specialist (Scikit-Learn, Tensorflow)
- Knowledge of applied statistics
- Graphical analysis experience

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Computer Vision Engineer Knowledge

- Minimum 4 years experience in Computer Vision
- Solid knowledge in image tracking, detection, recognition and processing
- Extensive management of Python and / or C ++
- Solid experience in Machine Learning, specifically Deep Learning
- Experience with Tensorflow, scikit-learn, OpenCV
- Solid knowledge in linear algebra

TensorFlow Badge First certificate in Latin America as a Tensorflow Developer

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Data Engineer Knowledge

- Extensive knowledge of the fundamentals of Databases and Big Data systems
- Design and develop data pipelines for continuous ingestion to Data Warehouses and Data Lakes
- Mastery of data integration techniques, mainly from non-relational sources
- Ensures that data can be properly consumed by the different teams within the organization
- Experience in collaborative data analysis platforms
- Proficiency in programming languages, libraries and data analysis tools

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BI Engineer Knowledge

- Extensive knowledge of the fundamentals of Databases and Data Warehousing systems
- Design and implement multidimensional data models (cubes with their dimensions, hierarchies, facts and measures)
- Designs and develops extract, transform, and load (ETL) routines for data integration from various sources
- Experience in building dashboards and data visualizations using state-of-the-art platforms
- Domain of relational databases and SQL
- Data quality basics

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Data Quality Engineer Knowledge

- Extensive knowledge of the fundamentals of Data Quality in Information Systems
- Based on the multi-dimensional approach to the concept of quality (dimensions, factors, metrics and measurement methods), it develops Quality Models
- Designs and implements in conjunction with the client Data Quality Management processes that are transversal to the entire organization that promote evaluation and continuous improvement
- Experience in running Data Profiling to explore a data set for signs of data quality issues
- Domain of relational databases and SQL

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Business Translator Knowledge

- Ensures that the visions of the technical and business areas are aligned
- Understand the challenges from a business point of view by identifying the main pain points, based on which it helps to define the best data strategy
- It helps to keep the project focus on the value that is contributed to the business, preventing it from deriving in efforts that do not generate value
- Together with the client, define what will be the success criteria of the project to enhance ROI

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Talk to one of our experts about what IDATHA can do for you

Let's work together to build something great

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