Big Data Engineer

Company Summary
DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America's First Smart Network™.
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
Department Summary
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities
Key Responsibilities:

• Evangelist for data engineering function leveraging big data processing framework
  Creation and optimization of data engineering pipelines for analytics projects
• Support data and cloud transformation initiatives
• Support our software engineers and data scientists
• Contribute to our cloud strategy based on prior experience
• Understand the latest technologies in a rapidly innovative marketplace
• Independently work with all stakeholders across the organization to deliver enhanced functionality

Skills, Experience and Requirements
Education and Experience:

• Must have 6-12 years of experience in Big Data Engineering/Data Analysis
• Must be from a Data Warehouse/Big Data background

Skills and Qualifications:

• 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

Salary Ranges
Compensation: $96,250.00/Year - $137,500.00/Year
Benefits
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; all benefits can be viewed here: DISH Benefits .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.