Overview
Hybrid
$65 - $70
Contract - W2
Contract - 12 Month(s)
Skills
Java
Python
Scala
Kafka connect
Druid
Big Query
Azure or Google
Job Details
What you'll do:
Looking to hire a Data Engineer for their Marketplace Engineering team. An ideal candidate must have expertise in Java, data platforms, strong knowledge of algorithms and data structures, cloud application development, automation tools, CI/CD pipeline, and a proven understanding of microservices and REST APIs. If you are the type of person who feels a personal stake in everything that you work on, has a love for data, enjoys solving complex problems, has a passion for privacy, knows how to foster strong relationships and build trust, and works for the success of the entire team.
What you ll do:
As a Data Engineer, you ll have the opportunity to
- Collaborate with cross functional teams including business, product and other software engineers to understand the business problem, review business requirements, draft technical requirements, scope, design, develop, test, and deploy services and systems.
- Collaborate with your team to perform design and code reviews, provide constructive feedback, improve operational excellence to ensure high quality, high availability, scalable and performant systems.
- Create and enhance medium sized applications, services, or significant set of components within a large application.
- Willing to learn and contribute in any layer of the stack, from front-end development to back-end services and data.
What you'll bring:
- 5+ years of relevant experience in building highly resilient, highly scalable systems.
- Experience in multiple stack technologies Java, Python, Scala
- Hands on experience in API development, GQL, Node.js
- Hands on experience with Hadoop, Hive, Spark using Scala, Vertex AI, Presto/Trino, Kubernetes, Cloud, Automic, Airflow and Data Lake concepts.
- Solid knowledge of complex software design, distributed system design, design patterns, data structures, and algorithms.
- Skilled in data modelling & data migration protocols.
- Familiarity with public cloud technologies such as Azure or Google Cloud Platform.
- Knowledge on Kafka connect, Druid, Big Query and Looker is added advantage.
- Excellent technical debugging and production support skills.
- Extensive experience in the design, development, and delivery of software products with a large user base.
- Track record in an architect role with large-scale software development data-backed services and applications.
- Ability to balance conflicting interests in a complex and fast-paced environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.