Vacancy expired!
Department Summary: DISH is a Fortune 200 company that continues to redefine the communications industry. Our legacy is innovation and a willingness to challenge the status quo, including reinventing ourselves. We disrupted the pay-TV industry in the mid-90s with the launch of the DISH satellite TV service, taking on some of the largest U.S. corporations in the process, and grew to be the fourth-largest pay-TV provider. We are doing it again with the first live, internet-delivered TV service - Sling TV - that bucks traditional pay-TV norms and gives consumers a truly new way to access and watch television.
Now we have our sights set on upending the wireless industry and unseating the entrenched incumbent carriers. We are driven by curiosity, pride, adventure, and a desire to win - it's in our DNA. We're looking for people with boundless energy, intelligence, and an overwhelming need to achieve, to join our team as we embark on the next chapter of our story. Opportunity is here. We are DISH. Job Duties and Responsibilities:- Evangelist for data engineering function leveraging Big Data framework
- Monitoring data pipeline
- Support our software engineers and data scientists
- Contribute to our cloud strategy based on prior experience
- Independently work with all stakeholders across the organization to deliver enhanced functionality
- Must be from a Data warehouse/Big Data background.
- Bachelors degree or equivalent experience.
- 2+ years of experience in advanced Spark/Java programming. Specifically, monitoring Big Data data engineering jobs.
- 2+ years SQL experience using Hive/Impala framework including SQL performance tuning
- Knowledge of using, setting up and tuning resource management framework such as Yarn or Mesos
- Experienced in production support for Big data pipelines, MapReduce framework, Oozie workflows and scoop Jobs and external schedulers such as Autosys/Control-M.
- Experience in maintaining streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis
- Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch.