Big Data Engineer

4 days ago


Littleton Colorado, United States DISH Full time
About DISH

DISH is a leading technology company that has been revolutionizing the future of connectivity for over 40 years. Our business spans across satellite television service, live-streaming, on-demand programming, smart home installation services, mobile plans and products, and now we are building America's First Smart Network.

We have a diverse portfolio of brands, including EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile, and Gen Mobile.

About the Role

We are seeking a highly skilled Big Data Engineer to join our Technology team. As a Big Data Engineer, you will play a vital role in connecting consumers with the products and platforms of tomorrow.

Key Responsibilities:
  • Evangelize the data engineering function, leveraging big data processing frameworks.
  • Create and optimize data engineering pipelines for analytics projects.
  • Support data and cloud transformation initiatives.
  • Collaborate with software engineers and data scientists to deliver enhanced functionality.
  • Contribute to our cloud strategy based on prior experience.
  • Stay up-to-date with the latest technologies in a rapidly innovative marketplace.
  • Independently work with stakeholders across the organization to deliver results.
Requirements:
  • 6-12 years of experience in Big Data Engineering/Data Analysis.
  • Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting.
  • Experience in working with Core Spark, Spark Streaming, DataFrame API, Data Set API, RDD APIs & Spark SQL programming dealing with processing terabytes of data.
  • Advanced SQL experience using Hive/Impala framework including SQL performance tuning.
  • Experience with ElasticSearch (OpenSearch) and Kibana Dashboards.
  • Experience in writing spark streaming jobs integrating with streaming frameworks such as Apache Kafka or AWS Kinesis.
  • Create and maintain automated ETL processes with special focus on data flow, error recovery, and exception handling and reporting.
  • Gather and understand data requirements, work in the team to achieve high-quality data ingestion and build systems that can process the data, transform the data.
  • Knowledge of using, setting up, and tuning resource management frameworks such as standalone Spark, Yarn, or Mesos.
  • Experience in physical table design in Big Data environment.
  • Experience working with external job schedulers such as autosys, aws data pipeline, airflow, etc.
  • Experience working in Key/Value data store such as Hbase.
  • Experience in AWS services such as EMR, Glue (serverless architecture), S3, Athena, IAM, Lambda, and CloudWatch.
What We Offer:
  • We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan.


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