Senior Data Analytics Engineer
New
T
TrafileaConsumer Tech eCommerce
Argentina, Brazil, Costa RicaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- AWSDockerPythonSQLApache AirflowBusiness IntelligenceKubernetesCI/CDData modeling
Requirements
- 4+ years of professional experience in Data Engineering, Analytics Engineering, BI, or ML Engineering in production environments.
- Advanced SQL proficiency including complex joins, CTEs, window functions, and query optimization.
- Proven experience designing and maintaining production data models and pipelines.
- Hands-on experience with core AWS data services such as Redshift, S3, Glue, Athena, and Lambda.
- Hands-on experience with Apache Airflow for workflow management.
- Strong Python programming skills with an OOP focus.
- Experience with CI/CD practices using GitHub Actions or GitLab.
- Experience with containerization technologies like Docker and Kubernetes/ECS/EKS.
- Proficiency with BI platforms such as Tableau or Quicksight.
- Ability to own production reporting, data quality, and root-cause analysis processes.
Responsibilities
- Architect, scale, and maintain end-to-end ETL/ELT pipelines and Airflow-driven workflows across the full data lifecycle.
- Design and optimize SQL transformations, datasets, and high-quality data models.
- Build, centralize, and maintain dashboards and analytical tools to translate business needs into scalable BI solutions.
- Establish strong governance, monitoring, alerting, SLAs, data validation, and anomaly detection.
- Operationalize ML models in batch/real-time environments and build internal data tools.
- Optimize complex SQL queries and large-scale datasets for performance and cost-efficiency in AWS.
- Partner with cross-functional teams to define and report on core business metrics like CAC, ROAS, LTV, and conversion funnels.
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