Data Reliability Engineer

Data Reliability Engineer III

Location – Irving, TX

Client : SiriusXM

Visa : USC/GC

Experience needed : 10 years

 

Position Summary:

 

The Data Reliability Engineering team is a pillar of the Services Enablement Engineering organization. Our team owns the overall scalability, observability and resilience of the databases, stream processing platforms and in-memory key-value stores powering SiriusXM and Pandora. We work in partnership with a broad collection of cross-functional engineering teams to improve velocity, efficiency and performance while providing the paved-path frameworks making it easy for service teams to “do the right thing.”

 

Duties and Responsibilities:

•             Support existing databases, Redis caches and Kafka clusters at SXM/P

•             Automate operational toil via scripting, infrastructure-as-code utilities and third-party applications

•             Give advice to service owners on industry and company standards and best practices.

 

Supervisory Responsibilities:

•             None.

Minimum Qualifications:

•             5+ years scripting experience preferably in Python

•             Monitoring tools like Prometheus, Grafana and ELK Stack

•             Experience with one or more of the following:

o             Open source SQL databases like PostgreSQL

o             Data streaming technologies - Kafka, Kafka Connect, KStreams, KSQL

o             In-memory key-value Stores like Redis.

•             Cloud computing - Google Cloud Platform, Amazon Web Services

•             Automated deployment procedures using dev-ops tooling like Ansible and Terraform

•             Developing for Linux-based deployment platforms,

 

Requirements and General Skills:

•             Interpersonal skills and ability to interact and work with staff at all levels.

•             Excellent written and verbal communication skills.

•             Ability to work independently and in a team environment.

•             Ability to project professionalism over the phone and in person.

•             Ability to handle multiple tasks in a fast-paced environment.

•             Commitment to “internal client” and customer service principles.

•             Willingness to take initiative and to follow through on projects.

•             Excellent time management skills, with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment.

•             Must have legal right to work in the U.S.

 

Technical Skills:

•             Thorough knowledge of MS-Office Suite (Word, Excel, PowerPoint, Access).

•             Developing SQL applications of significant complexity

•             Web frameworks like Django

•             Data warehouse technologies: MapReduce, HDFS, Hive, Tez, Spark, Sqoop