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Job Duties:

Architecture and create data-driven solutions for DISH 5G telecom domain and drive business outcome using AI and ML and DOP data, provide expert knowledge in helping to launch 5 G network using data-driven decisions.Keep current on data engineering and data visualization technology trends, evaluate, work on proof-of-concept and make recommendations on cloud technologiesMaintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala.Conceptualize and implement foundational data models, Data Lake, ETL pipelines, and curated layer servicing multiple reporting platformsWork directly with application teams/partners (internal clients such as Xbox, Skype for Business, Microsoft Office 365) to understand their offerings/domain and get them successful with data so they can run controlled experiments (ab testing).Design, build and support pipelines of data transformation, conversion, validationBe a technical leader to junior engineers, ensure the team is being challenged, and expose your team to new opportunities, while still being able to deliver ambitious goals.Build data manipulation, processing, and data visualization tools and share these tools across the team, ASG, and AWS.Define technical direction and roadmap for SaaS data product and manage the implementation and technical solutionsLeverage statistical and computational knowledge to build algorithms for calculating variances.Apply data analysis, data mining, and data engineering to present data clearly and develop experiments (A/B testing)Ensure high-quality data and understand how data is generated out of the experimental design and how these experiments can produce actionable, trustworthy conclusions.Assist senior management in making key business decisions.Act as a subject matter expert to leadership for technical guidance, solution design, and industry best practices related to data architecture and migration patternsWork with development teams to build tools for data logging and repeatable data tasks that will accelerate and automate data scientist duties.Help businesses to build and create KPI-driven reports and dashboards using terabytes of 5 G network data.Own and develop data engineering architecture, design and implementation of big data platforms and analytics solutions in cloud or hybrid to empower customers to solve problems through self-service frameworksAdvise clients and internal teams on leading cloud practices and architectural approachesDevelop and coordinate cloud architecture across diverse areas including application development, identity and access management, network, and data management, and security

Education: The minimum qualification required for the performance of the above specialty occupation duties is a bachelor's degree or equivalent in Computer Science or equivalent in a related field or a foreign equivalent is required closely related field with relevant experience.