Data Engineer

Cupertino, CA - USA

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

Title: Data Engineer

Location: Cupertino CA or Austin TX (Hybrid)

Requirements
10 years software engineering including strong SQL and data focus Expertise in languages like Python Java or Scala and technologies like Airflow Spark Trino Kafka Ability to analyze complex datasets and design solutions with optimum quality and efficiency Familiarity with SDLC best practices version control CI/CD

Description
You will architect develop and test large scale and efficient solutions that provide Client leadership with the accurate data required to rapidly understand and adapt to changing business conditions.

Design and implement scalable efficient and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability

Create data products enabling self-service and predictability by any consumer Build libraries and frameworks that drive leverage and productivity for the entire team

Optimize and maintain solutions driving improvements in efficiency data quality and operational excellence
We are a rapidly growing team with plenty of interesting technical and business challenges to solve.

We seek a self-starter who is willing to learn fast adapt well to changing requirements and work with cross functional teams.

Preferred Qualifications
BS or MS in Engineering/ Computer Science

Experience with cloud services such as AWS GCP or Azure for data infrastructure and storage.

Knowledge of infrastructure as code (e.g. Terraform) and container orchestration tools (e.g. Kubernetes).

Title: Data Engineer Location: Cupertino CA or Austin TX (Hybrid) Requirements 10 years software engineering including strong SQL and data focus Expertise in languages like Python Java or Scala and technologies like Airflow Spark Trino Kafka Ability to analyze complex datasets and design so...