Were looking for an exceptional data engineer to join our journey to create a data-based platform that will transform the shipping industry.
As a senior data engineer, you will take an instrumental part in laying the foundations and building the data infrastructure in the company, plan and implement the relevant data infrastructure and tools, be in charge of pipelining the companys data and be responsible for the integrity of the data as we scale up.
Responsibilities:
Contribute to the ongoing management of the data team platform including platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Developing and maintaining data pipelines for efficient extraction, transformation, and loading (ETL) processes.
Participate in proofs-of-concept on platform innovation, and effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.
As a senior data engineer, you will take an instrumental part in laying the foundations and building the data infrastructure in the company, plan and implement the relevant data infrastructure and tools, be in charge of pipelining the companys data and be responsible for the integrity of the data as we scale up.
Responsibilities:
Contribute to the ongoing management of the data team platform including platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Developing and maintaining data pipelines for efficient extraction, transformation, and loading (ETL) processes.
Participate in proofs-of-concept on platform innovation, and effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.
Requirements:
BSc or MSc degree in Computer Engineering, Computer Science or a related discipline
8+ years of experience in data/ software engineering within a production environment
Strong programming skills (e.g., Python,, SQL).
Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP)
Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB, Spark)
Proficiency in data modeling and database management.
BSc or MSc degree in Computer Engineering, Computer Science or a related discipline
8+ years of experience in data/ software engineering within a production environment
Strong programming skills (e.g., Python,, SQL).
Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP)
Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB, Spark)
Proficiency in data modeling and database management.
This position is open to all candidates.
