Ref: CDE050523-01_1683295581

Cloud Data Engineer

USA, California

  • Negotiable
  • Engineer Role
  • Skills: Python, Data Pipelines, ETL Pipelines, SQL, Spark, Snowflake, Redshift, Kafka, Kinesis
  • Level: Senior

Job description

Cloud Data Engineer


Do you have Cloud Data Engineering experience, and are you seeking a new job in Los Angeles? If so, we'd love to hear from you! Jefferson Frank is helping a collaborative company recruit a skilled and dedicated Cloud Data Engineer, and the full-time role comes with an attractive salary and benefits.

In this Cloud Data Engineer role, you can expect to:

* Strong experience with Python, software engineering background required
* Data Pipelines/ETL Pipelines
* Experience with SQL and Spark
* Professional experience with Snowflake or Redshift
* Kafka or Kinesis (Nice to have)
* Taking over and scaling data models with Tableau

To apply for this job, you will need consistent cloud data engineering experience. You will also require to design and build reliable, scalable, data infrastructure with leading privacy and security techniques to safeguard data. In return for your dedication, collaboration, and commitment, you will receive a generous salary and benefits package, joining a welcoming and inclusive culture.

We'd love for you to apply for this full-time hybrid Cloud Data Engineer job, and we're waiting to hear from you. Please get in touch with Jefferson Frank today.

Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organizations worldwide to find and deliver the best permanent and contract AWS DevOps, Big Data, IaaS and PaaS, and AWS Security professionals on the planet.