Senior Data Engineer
New
LATAM-Based OnlyFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 2–3+ years as a Data Engineer or ML Engineer in production environments
- Required Skills
- AWSDockerPythonSQLApache AirflowETLKubernetesMachine LearningCI/CD
Requirements
- 2–3+ years as a Data Engineer or ML Engineer in production environments
- Advanced expertise in the AWS ecosystem including S3, Glue, Athena, Redshift, Lambda, EC2, RDS, EMR, VPC, and ECS/EKS
- Proficiency with Apache Airflow for orchestration
- Strong skills in Python using object-oriented programming
- Expertise in advanced SQL optimization
- Experience with CI/CD pipelines using GitHub Actions or GitLab
- Hands-on experience with Docker and Kubernetes (EKS/ECS, ECR)
- Strong system-level thinking and focus on scalability and cost-efficiency
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 & Analytics teams
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