Data Engineering

Data Engineering

We will enable your capability to make data-driven decisions

About the service

Providing you with Senior data architects, data engineers and data analysts, we will build your data pipelines, data lake, data warehouse or customer data platform. We will improve your decision making process with insight-driven solutions, enable data governance and assure the data quality and consistency of your business.

Technologies

Some of the languages and frameworks we work with in data engineering projects are:

Solutions

Our team is capable of creating data engineering solutions that help you make data-driven decisions, delivering results such as:

Feature Engineering

We will improve your data, so it can be used for machine learning or advanced analytics, with great accuracy and performance metrics.

Data Pipeline

We are capable of building a universal and robust data pipeline architecture that is efficient, scalable and fault tolerant.

Data Consistency

With our robust data pipelines and architecture, we assure data consistency with a quality monitoring process and data governance.

Data Engineering Process

Data availability
We make sure data is available for data analysis (decision making), data visualization (dashboard, reporting) and advanced analytics (ML, statistics).
Assessment
We identify the need of our partner and expected data outcome. With data collection, we plan and design the data structure.
Data solution
Our team of Senior data engineers designs a solution, validating its technical and functional feasibility to develop the data model.
Data pipeline
With all data sources available, we extract, clean, transform, load and analyze the data; building strong and robust ETL or ELT processes.
Testing
We perform testing stages of different environments with end-user validation and complying with our partner’s business rules.
Data availability
We make sure data is available for data analysis (decision making), data visualization (dashboard, reporting) and advanced analytics (ML, statistics).
Assessment
We identify the need of our partner and expected data outcome. With data collection, we plan and design the data structure.

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Assessment

We identify the need of our partner and expected data outcome. With data collection, we plan and design the data structure.

Data solution

Our team of Senior data engineers designs a solution, validating its technical and functional feasibility to develop the data model.

Data pipeline

With all data sources available, we extract, clean, transform, load and analyze the data; building strong and robust ETL or ELT processes.

Testing

We perform testing stages of different environments with end-user validation and complying with our partner’s business rules.

Data availability

We make sure data is available for data analysis (decision making), data visualization (dashboard, reporting) and advanced analytics (ML, statistics).

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