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Senior Data Analytics Engineer

2 months ago


Littleton Colorado, United States DISH Full time
About the Role

We are seeking a highly skilled Senior Data Analytics Engineer to join our team at DISH. As a key member of our Technology team, you will be responsible for building and implementing data integrations and analytics solutions for our Wireless Commercial business.

Key Responsibilities
  • Provide technical expertise in Streaming Analytics solutions across Wireless
  • Understand business needs and analytics product offerings to design and build data and analytics solutions on Kafka and Elastic stack
  • Analyze business and technical requirements
  • Quickly build prototypes to test out proof-of-concepts
  • Address technical concerns, ideas, and suggestions
  • Assist in solving technical problems when they arise
  • Monitor systems to ensure they meet the partner, user, and business goals
  • Deliver solutions, features using agile delivery methodologies
Requirements
  • 4+ years as a Data Analytics engineer in the real-time analytics and reporting for wireless and/or telecom space esp., in Sales, Marketing, Retention, Product, Revenue and Partner Management, etc
  • 5+ years of hands-on experience with the development and delivery of secure, reliable, and scalable big data solutions using agile methodologies
  • Experience in building big data and streaming data analytics solutions using Kafka and Elasticsearch
  • Experience in builging highly performant SQL and Python-based solutions delivered using file feeds, Data-as-a-Service APIs, and BI tools like Kibana & Tableau
  • Experience in data management and engineering capabilities
  • Experience in cloud technologies (like AWS) and data analytics platforms
  • Experience in delivering of self-service analytics, insights, KPIs, and metrics
  • Experience working with cross-functional teams in a dynamic environment across different geographies and vendors
  • Experience building and maintaining a data catalog with a dictionary
  • Experience with scheduling tools like Control-M or Airflow
  • Experience with high-performance/scalable computing using Spark or Kubernetes
  • Experience with Modern Data Warehouses like Snowflake
  • Ensure compliance on all deliverables by performing data audits and analysis
  • Excellent written/verbal communication skills
  • Strong analytical and problem-solving skills
  • Ability to adapt and deep dive into new technologies
  • Strong desire to learn new things and continually improve