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Data-Driven Innovation Leader

2 months ago

Littleton, Colorado, United States DISH Full time
About DISH

DISH, an EchoStar company, has been revolutionizing the future of connectivity for over 40 years. Our business scope encompasses satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and the development of America's First Smart NetworkTM.

Our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile, and Gen Mobile.

Technology Department Overview

Our Technology teams challenge conventional thinking and reimagine capabilities across industries. We achieve this through research and development, technology innovation, and solution engineering. Our people play vital roles in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Key Responsibilities:

  • Deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks.
  • Optimize data engineering and machine learning pipelines.
  • Review architectural designs to ensure consistency & alignment with defined target architecture and adherence to established architecture standards.
  • Support data and cloud transformation initiatives.
  • 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 point and strategic solutions.
  • Assist solution providers with the definition and implementation of technical and business strategies.
Skills, Experience, and Requirements

Education and Experience:

  • Bachelor's Degree in a technical field.
  • 12+ years of experience working as a Data Warehouse/Big Data Architect.
  • Experience in AWS cloud transformation projects is required.
  • Telecommunication domain experience is preferred.

Skills and Qualifications:

  • AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data Pipeline.
  • Advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting.
  • Logical & physical table design in Big Data environments to suit processing frameworks.
  • Functional programming and Spark SQL programming dealing with processing terabytes of data.
  • Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
  • Advanced SQL experience including SQL performance tuning is a must.
  • Big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena.
  • Knowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone spark.
  • Knowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB.
Compensation and Benefits

Salary Ranges:

Compensation: $127,050.00/Year - $208,725.00/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.

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.