Junior Data Engineer
About the Role
Create and maintain optimal data pipeline architecture.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Provision data tools for data analysts, data scientists and other non-technical users in the organization that can assist them in building and optimizing our product into an innovative industry leader.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Reformulating existing frameworks to optimize their functions.
Testing such structures to ensure that they are fit for use.
Collaborate with data team members to orchestrate data/ML pipeline in production
Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.
Bachelor degree in Computer Science, Computer Engineering or a related technical field.
Expert proficiency in Python and SQL.
Familiarity with Big Data Platform
Familiarity with deployment on AWS (Amazon Web Services), GCP (Google Cloud Platform) or other cloud service providers.
Familiarity with orchestrated tools such as Airflow
Experience in designing and implementing systems using emerging technology.
Strong analytic skills related to working with structure and unstructured datasets.
Cloud providers certification is a plus
How to apply
4 steps to become a freshketer
You can apply through our website.
The team will review your application and contact back.
We conduct phone and online interviews to get to know you better.
We make an offer to the candidate who is the best fit.