Senior Data Analytics Engineer
Posted on Sep 17, 2024 by DISH
Littleton, CO
Engineering
Immediate Start
Annual Salary
Full-Time
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 America’s 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:
The Data Analytics Engineer is responsible for building the DISH Wireless Commercial data integrations and implementing the fully automated analytics modules catering to DISH business team needs and the analytics product offerings in the marketplace for Commercial customers. The engineer will focus on building the data pipelines, insights, KPIs, and metrics using the DISH Wireless data from BSS, OSS, NSS or external sources to business/partners/customers. This individual will play an active role in delivery and ensure alignment with the end-state architecture.
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
Skills, Experience and Requirements:
Education and Experience:
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
Skills and Qualifications:
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
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: .
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.
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 $(phone number removed) - $(phone number removed) / 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 America’s 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:
The Data Analytics Engineer is responsible for building the DISH Wireless Commercial data integrations and implementing the fully automated analytics modules catering to DISH business team needs and the analytics product offerings in the marketplace for Commercial customers. The engineer will focus on building the data pipelines, insights, KPIs, and metrics using the DISH Wireless data from BSS, OSS, NSS or external sources to business/partners/customers. This individual will play an active role in delivery and ensure alignment with the end-state architecture.
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
Skills, Experience and Requirements:
Education and Experience:
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
Skills and Qualifications:
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
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: .
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.
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 $(phone number removed) - $(phone number removed) / Year
Reference: 200953982
https://jobs.careeraddict.com/post/95374425
Senior Data Analytics Engineer
Posted on Sep 17, 2024 by DISH
Littleton, CO
Engineering
Immediate Start
Annual Salary
Full-Time
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 America’s 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:
The Data Analytics Engineer is responsible for building the DISH Wireless Commercial data integrations and implementing the fully automated analytics modules catering to DISH business team needs and the analytics product offerings in the marketplace for Commercial customers. The engineer will focus on building the data pipelines, insights, KPIs, and metrics using the DISH Wireless data from BSS, OSS, NSS or external sources to business/partners/customers. This individual will play an active role in delivery and ensure alignment with the end-state architecture.
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
Skills, Experience and Requirements:
Education and Experience:
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
Skills and Qualifications:
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
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: .
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.
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 $(phone number removed) - $(phone number removed) / 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 America’s 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:
The Data Analytics Engineer is responsible for building the DISH Wireless Commercial data integrations and implementing the fully automated analytics modules catering to DISH business team needs and the analytics product offerings in the marketplace for Commercial customers. The engineer will focus on building the data pipelines, insights, KPIs, and metrics using the DISH Wireless data from BSS, OSS, NSS or external sources to business/partners/customers. This individual will play an active role in delivery and ensure alignment with the end-state architecture.
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
Skills, Experience and Requirements:
Education and Experience:
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
Skills and Qualifications:
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
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: .
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.
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 $(phone number removed) - $(phone number removed) / Year
Reference: 200953982
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