Job Seekers, Please send resumes to resumes@hireitpeople.com

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 technologies
• Maintain 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 platforms
• Work 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, validation
• Be 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 solutions
• Leverage 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 patterns
• Work 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 frameworks
• Advise clients and internal teams on leading cloud practices and architectural approaches
• Develop 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.