About the Data Engineer position

We are looking for a talented senior and junior level in the IT/Programming field to be our Full-Time Data Engineer. Your main duty is to do all the data analysis working with a dynamic and international team to connect people with the product and service they love.

Data Engineer Responsibilities are:

Design, construct, install, test and maintain highly scalable data management systems
Ensure systems meet business requirements and industry practices
Build high-performance algorithms, prototypes, predictive models, and proof of concepts
Research opportunities for data acquisition and new uses for existing data
Develop data set processes for data modeling, mining, and production
Integrate new data management technologies and software engineering tools into existing structures
Create custom software components and analytics applications
Employ a variety of languages and tools to marry systems together
Install and update disaster recovery procedures
Recommend ways to improve data reliability, efficiency, and quality
Collaborate with data architects, modelers, and IT team members on project goals

Data Engineer Qualifications are:

Bachelor’s Degree in Computer Engineer, Computer Science or similar relevant field
Strong programming with Python and SQL skills
2 years of experience building and optimizing ‘big data’ data pipelines, architectures, ETL processes, and data sets.
2 years of experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
A successful history of manipulating, processing, and extracting value from large disconnected datasets.
2 years of experience with relational SQL and NoSQL databases, including Postgres and MongoDB.
Experience with big data tools: Spark, Kafka, AirFlow, etc.
Experience with cloud service providers: Google Cloud Platform, AWS, etc.