Company SummaryDISH, 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 SummaryOur 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 ResponsibilitiesKey Responsibilities:
Evangelist for data engineering function leveraging big data processing frameworkCreation 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 RequirementsEducation and Experience:
Bachelor's degree in computer science, or a similar technical field
Must have 4 years of experience in Big Data Engineering/Data Analysis
Skills and Qualifications:
Must be from a Data Warehouse/Big Data background
Experience in AWS services such as EMR, Glue (serverless architecture), S3, Athena, IAM, Lambda, and CloudWatch
Experience in advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge of 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 a 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
Salary RangesCompensation: $96,250.00/Year - $137,500.00/YearBenefitsWe 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.