Responsibilities
- Develop and maintain scalable data pipelines and ETL processes.
- Design, implement, and optimize existing data extraction and loading processes with adequate data engineering design patterns.
- Lead data engineering reliability and observability, increasing analytics team awareness of the data flow processes before it becomes an issue.
- Collaborate with backend and analytics engineers in a holistic data engineering process, loading data accordingly with the technical requirements.
- Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques.
- Work with cloud-based data warehouses and analytics platforms to manage and store large datasets.
- Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data.
- Document data processes, workflows, and best practices to enhance team knowledge and efficiency.
- Create dashboards as data products as internal
Requirements
- Bachelor degree in Data Science, Statistics, Computer Science, or a related field.
- Advanced English
- 2+ years of experience in Data Engineering or Analytics.
- Highly experienced in SQL and database management systems such as PostgreSQL and Clickhouse .
- Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt).
- Strong experience with programming languages such as Python with modern data stack for data engineering (e.g. DuckDb, Polars...)
- Experience with streaming tools (e.g. Kafka).
- Experience with cloud-based data platforms like AWS Redshift.
- Experience with GoLang/Rust is a plus.
- Experience with observability tools is a plus (e.g. Datadog, Grafana)
Top Skills
What We Do
Tractian is a machine intelligence company that offers industrial monitoring systems. Tractian builds streamlined hardware-software solutions to give maintenance technicians and industrial decision-makers comprehensive oversight of their operations. It is democratizing access to sophisticated real-time monitoring and asset operations tools.
Tractian's solutions are used in environments that address a combined total of 5% of global industrial output. The company’s broad market reach is evidenced in its customer base from various industries, such as John Deere, Procter & Gamble, Caterpillar, Goodyear, Carrier, Johnson Controls, and Bimbo, the owner of the brands Little Bites and Thomas Bagels. Tractian's customers see a 6-12x ROI with savings of $6,000 per monitored machine annually on average.
In a major milestone and a first for the industry, Tractian launched the AI-Assisted Maintenance category in the industrial sector. In this new paradigm, artificial intelligence identifies machine problems and suggests preventive actions to be taken, giving invaluable insight and support to maintenance professionals. It is important to highlight that the intent of Assisted Maintenance is firmly rooted in augmenting maintenance professionals to provide more assertive diagnosis with human-in-the-loop feedback.
Tractian's mission is to elevate this category of workers in a highly impactful way. The Assisted Maintenance category will provide unimaginable support for maintenance professionals. By combining shop floor expertise with our technology, maintainers will be able to anticipate and address issues with unprecedented accuracy and speed
