Gorilla Logic provides custom application development services on the ground and in the cloud to many of the world's leading software-driven organizations. Our highly collaborative, Agile Gorillas are uniquely qualified to implement complex software initiatives and are skilled at large Agile implementations. As an established leader in mobile, internet, and enterprise application development we attract some of the most talented developers and interesting projects. Gorilla Logic's commitment to solving advanced technology issues enables us to deliver high-quality, full-featured applications we are proud of.
●Full-time employment with Gorilla Logic.
●Work out of our very modern office in San Jose,
Costa Rica or Medellín, Colombia.
●Position available to start ASAP; Flexible for 30-day notice.
●Fun environment and flexible work schedule.
●Paid company private insurance and compensated days off.
●Product ownership, close-knit team, and endless opportunities within the company!
Senior Data Engineer
Gorilla Logic is looking for a Senior Data Engineer. This is a unique and highly technical role responsible for ensuring customers have the data and tools they need to make important and timely decisions. Our environment will require you to work effectively with your teammates, of course. But your real success will be measured by how well you couple critical thinking with self-motivation, enthusiasm and determination.
●Build, enable, and maintain high-quality, reliable data infrastructure.
●Partner with data science, engineering, and product teams to deliver new capabilities to customers.
●Leverage modern engineering practices and tools in a cloud-native SaaS environment.
●Must have the ability to work in a dynamic, fast-paced environment.
●Strong communication skills to interact with Agile team members.
●Good Analytical thinking and problem-solving skills.
●Bachelor’s degree in Computer Science or related field (or equivalent experience)
●5+ years of experience as a Data Engineer.
●Track record of creating and maintaining data pipelines.
●Expertise with deploying and maintaining distributed data processing frameworks, database technologies, and streaming/messaging systems.
●Ability to assemble large, complex data sets that satisfy the needs of both internal and external customers.
●Build analytics tools as part of a data platform to enable data access, analytics workflows, and actionable insights into customer’s IT environments and the company’s operational efficiency.
●Familiarity with cloud environments and technologies (AWS preferred)
●Experience with both relational SQL and NoSQL databases.
●Proficiency with and willingness to learn programming languages such as Golang, Python, Java, Scala.
●Experience partnering with business intelligence and analytics teams.
●Knowledge of data science principles, statistics, or machine learning.