
Senior Data Engineer, Python, AWS, ML Pipelines
Posted May 24

Posted May 24
This is a fully remote position, open to applicants in Portugal.
• Developing and sustaining data and machine learning pipelines within a production environment
• Creating ETL and data processing workflows utilizing Python
• Managing workflows with tools like Airflow and AWS Step Functions
• Utilizing AWS Glue for data processing and execution of pipelines
• Assisting in the deployment of machine learning models into production through SageMaker
• Collaborating closely with Data Scientists and ML Engineers to operationalize ML models
• Monitoring, diagnosing, and enhancing pipeline reliability and performance
• Participating in architectural and technical decisions regarding data platforms and ML infrastructure
• Functioning in an agile setting with distributed teams
• Extensive experience with Python
• Proven experience in building data and/or ML pipelines in a production setting
• Practical experience with Airflow
• Familiarity with AWS Step Functions and AWS Glue
• Experience in deploying ML models using AWS SageMaker
• Strong proficiency with AWS cloud services
• Experience managing production systems at scale
• Experience collaborating within cross-functional teams alongside Data Scientists
• Excellent communication skills and capability to work within a distributed team environment
• Proficient in English communication, both written and verbal
• A culture that focuses on learning from mistakes rather than criticizing failure
• An Agile environment that encourages your ideas
• Continuous Training & Mentoring
• Opportunities for travel
Bemobi
Unisys
Dailymotion
SoftExpert - Software for Excellence
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