DISH
Big Data Solutions Architect
DISH, Littleton, Colorado, us, 80161
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 frameworksOptimizing data engineering and machine learning pipelinesReviews architectural designs to ensure consistency & alignment with defined target architecture and adherence to established architecture standardsSupport data and cloud transformation initiativesContribute to our cloud strategy based on prior experienceUnderstand the latest technologies in a rapidly innovative marketplaceIndependently work with all stakeholders across the organization to deliver point and strategic solutionsAssist 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 field12+ years of experience working as a Data Warehouse/Big Data ArchitectExperience in AWS cloud transformation projects is requiredTelecommunication domain experience is preferredSkills and Qualifications:AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data PipelineAdvanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scriptingLogical & physical table design in Big Data environments to suit processing frameworksFunctional programming and Spark SQL programming dealing with processing terabytes of dataSpecific 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 advantageAdvanced SQL experience including SQL performance tuning is a mustBig data frameworks such as MapReduce, HDFS, Hive/Impala, AWS AthenaKnowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone sparkKnowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB#LI-CH2Benefits: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.Salary Range:USD $127050.00 - $208725.00 / Year
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 frameworksOptimizing data engineering and machine learning pipelinesReviews architectural designs to ensure consistency & alignment with defined target architecture and adherence to established architecture standardsSupport data and cloud transformation initiativesContribute to our cloud strategy based on prior experienceUnderstand the latest technologies in a rapidly innovative marketplaceIndependently work with all stakeholders across the organization to deliver point and strategic solutionsAssist 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 field12+ years of experience working as a Data Warehouse/Big Data ArchitectExperience in AWS cloud transformation projects is requiredTelecommunication domain experience is preferredSkills and Qualifications:AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data PipelineAdvanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scriptingLogical & physical table design in Big Data environments to suit processing frameworksFunctional programming and Spark SQL programming dealing with processing terabytes of dataSpecific 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 advantageAdvanced SQL experience including SQL performance tuning is a mustBig data frameworks such as MapReduce, HDFS, Hive/Impala, AWS AthenaKnowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone sparkKnowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB#LI-CH2Benefits: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.Salary Range:USD $127050.00 - $208725.00 / Year