Big Data Architect

7 days ago

Colorado Springs, United States DISH Full time

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 Americas 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:

  • Deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks
  • Optimizing data engineering and machine learning pipelines
  • Reviews 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

#LI-CH2


Salary Ranges
Compensation: $146,300.00/Year - $209,000.00/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. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

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.

Required

Preferred

Job Industries

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