Senior Data Engineer
New York, NY
Your Role
Who are you? A senior data engineer who is excited to work on challenging Data infrastructure problems. You'll be a key contributor to EvolutionIQ’s Data Platform working closely with the Analytics and ML Team to understand their workflows and build a scalable, robust and developer friendly platform that can support multiple different products and use cases.
Outcomes
• Work with Analytics and ML Engineers to map workflows to a scalable platform
• Setup a reliable continuous model deployment infrastructure
• Setup centralized data storage to support ease of data access and EDA
• Setup reliable and secure client data ingestion
• Refactor core algorithms for improve efficiency, readability and test coverage
Role Competencies
• Implemented Data platform used for building and shipping multiple products
• Owned, deployed and maintained ETL pipelines in production
• Extensive experience in deploying systems on GCP or AWS
• Expert developer who writes clean, efficient, easy to understand code with unit tests, functional design patterns
• Expert in Python 3 and Pandas or equivalent data manipulation library
• Excellent technical document writing skills
• Extreme creativity and resourcefulness, appetite to solve previously unsolved problems
Other
• Extreme self-starter and self-motivator
• Holds self to extremely high standards, and inspires others to do the same
• Open to giving and receiving critical feedback
• Able to handle the ups and downs of early startup life
• Enthusiasm for team work and pair work
• Kind, empathetic, polite and professional
Other
• Extreme self-starter and self-motivator
• Holds self to extremely high standards, and inspires others to do the same
• Open to giving and receiving critical feedback
• Able to handle the ups and downs of early startup life
• Enthusiasm for team work and pair work
• Kind, empathetic, polite and professional
Tags: AWS ETL ETL pipelines GCP ML Model deployment Pandas Python
Perks/benefits: Startup environment
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