TRACTIAN

Senior Data Engineer

TRACTIAN

full-time

Posted on:

Location Type: Remote

Location: Brazil

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSCloudETLGrafanaKafkaPostgresPythonRustSQL

About the role

  • 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)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringETL processesdata extractiondata loadingdata validationdata cleansingSQLdatabase managementdata warehousingprogramming languages
Soft skills
leadershipcollaborationcommunicationproblem-solvingdocumentation
Certifications
Bachelor degree in Data ScienceBachelor degree in StatisticsBachelor degree in Computer Science