Design, build, and launch data infrastructures that support multiple use cases across different products or domains.
Collaborate with engineers, product managers, data scientists, and other stakeholders to understand data needs.
Solve challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Lead end-to-end data projects from infrastructure design to production monitoring and visualization.
Collaborate with engineers, product managers, data scientists, and other stakeholders to understand data needs.
Solve challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Lead end-to-end data projects from infrastructure design to production monitoring and visualization.
Requirements:
A great team player with a can-do approach.
4+ years of experience in Data Engineering in Big Data pipelines, on-prem and hybrid cloud environments, SQL and NoSQL databases, and SaaS.
Proficiency with one or more programming languages – Python/Scala/Java/Go.
Proficiency with SQL and experience with ETL and data modeling.
Experience in an agile development methodology, CI/CD, Git/Bitbucket, and TeamCity.
Bachelor's degree in Computer Science or equivalent experience.
Fluent in English, both written and verbal.
A great team player with a can-do approach.
4+ years of experience in Data Engineering in Big Data pipelines, on-prem and hybrid cloud environments, SQL and NoSQL databases, and SaaS.
Proficiency with one or more programming languages – Python/Scala/Java/Go.
Proficiency with SQL and experience with ETL and data modeling.
Experience in an agile development methodology, CI/CD, Git/Bitbucket, and TeamCity.
Bachelor's degree in Computer Science or equivalent experience.
Fluent in English, both written and verbal.
This position is open to all candidates.
