Senior Data Engineer (BI)
New
T
TrafileaConsumer Tech eCommerce
ArgentinaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 2–3+ years
- Required Skills
- AWSDockerPythonSQLApache AirflowETLKubernetesMachine LearningData engineeringCI/CD
Requirements
- 2–3+ years of experience as a Data Engineer or ML Engineer in production environments.
- Proficiency with the AWS ecosystem (S3, Glue, Athena, Redshift, Lambda, EC2, RDS, EMR, VPC, ECS/EKS).
- Strong expertise in Apache Airflow for orchestration.
- Advanced skills in Python, specifically object-oriented programming.
- Ability to perform advanced SQL optimization.
- Experience with CI/CD tools such as GitHub Actions or GitLab.
- Proficiency with Docker and Kubernetes (EKS/ECS, ECR).
- Proven ability to think in systems and prioritize scalability, cost-efficiency, and precision.
Responsibilities
- Architect and scale advanced ETL pipelines using modern Big Data technologies.
- Design resilient data frameworks across the full lifecycle from extraction to transformation and ML modeling.
- Lead the development of Airflow-driven data workflows.
- Optimize large-scale datasets and complex SQL queries.
- Operationalize machine learning models in batch and real-time environments.
- Improve cost-efficiency and scalability across the AWS data ecosystem.
- Elevate data quality standards with strong governance and monitoring systems.
- Build internal data tools that empower Marketing Science and Analytics teams.
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