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Job Description
Analytics at TRACTIAN
The Data Engineering team is responsible for building and maintaining the infrastructure that handles massive datasets flowing through TRACTIAN’s systems. This department ensures the availability, scalability, and performance of data pipelines, enabling seamless access and processing of real-time and historical data. The team’s core objective is to architect robust, fault-tolerant data systems that support everything from analytics to machine learning, ensuring that the right data is in the right place, at the right time.
What you'll do
As a Data Engineer, you will build data pipelines that enable data extraction, loading and transformation for several contexts. The goal is to have a reliable, available and trustworthy system that backbones the entire analytics pipeline. The challenges may vary from large datasets to high data throughput systems, not being reduced to a small set of techniques for data handling. You will also lead initiatives on data pipelines reliability and observability.
Analytics at TRACTIAN
The Data Engineering team is responsible for building and maintaining the infrastructure that handles massive datasets flowing through TRACTIAN’s systems. This department ensures the availability, scalability, and performance of data pipelines, enabling seamless access and processing of real-time and historical data. The team’s core objective is to architect robust, fault-tolerant data systems that support everything from analytics to machine learning, ensuring that the right data is in the right place, at the right time.
What you'll do
As a Data Engineer, you will build data pipelines that enable data extraction, loading and transformation for several contexts. The goal is to have a reliable, available and trustworthy system that backbones the entire analytics pipeline. The challenges may vary from large datasets to high data throughput systems, not being reduced to a small set of techniques for data handling. You will also lead initiatives on data pipelines reliability and observability.