Big Data Solutions Architect

DISH
US - Colorado - Thornton
July 2, 2024

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 Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.

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 and 12+ years of experience
Experience in AWS cloud transformation projects is required
Should have prior experience in working as a Data Warehouse/Big Data Architect
Experience in advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting
Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data Pipeline
Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis is required
Experience in logical & physical table design in Big Data environments to suit processing frameworks
Telecommunication experience is an added advantage

Skills and Qualifications:

Should have experience in both functional programming and Spark SQL programming dealing with processing terabytes of data
Specifically, this experience must be in writing Big Data data engineering jobs 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
Should have worked on other 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
Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning

#LI-CH2

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; all benefits can be viewed here:
DISH Benefits. The base pay range provided is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level and competencies. Compensation is also based on the role's location and may change depending on the work location. Candidates must 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 and will continue to extend by 3 days until the position is filled.

Required

Preferred

Job Industries

Other

Read the full job description and apply online on the recuiter's web-site

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