What are the responsibilities and job description for the Data Engineer position at hackajob?
hackajob is collaborating with Comcast to connect them with exceptional tech professionals for this role.
Job Posting Title
Data Engineer
Job Description Summary
Global Product Business Operations is a growing team that is part of the newly formed Chief of Staff Organization under the Global Product Organization (GPO). Focusing on financial operations, Bus Ops provides strategic and operational support to enable Global Product to run effectively and efficiently. Uniquely positioned, Bus Ops supports Comcast, Sky, Xumo and CTS. Our focus areas are driving financial operations, analyzing resource and investment allocations, and sharing data analytics & reporting to inform investment decisions.
Job Description
This role will be responsible for aggregating and visualizing data across Comcast and Sky for the Global Product Organization through the Business Operations and Chief of Staff function that requires capturing managing, storing utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis. Works with moderate guidance in own area of knowledge. This will be integral achieving our goals focusing around driving financial operations, analyzing resource and investment allocations, and sharing data analytics & reporting to inform investment decisions.
Requirements
Educational background: Computer Science, Information Technology or Software Engineering
Knowledge of Big Data Platforms and Technologies
Programming Skills: Intermediate Programming Language and Scripting skills (Python and Java) and the ability to review and modify code
Query Languages: Intermediate knowledge with SQL, NoSQL and GraphQL
Cloud Technologies: Experience with AWS
Big Data: Apache Spark, Databricks, ETL
Database: Experience with relational (postgres/Oracle), non relational databases (MongoDB)
Monitoring and Logging: Intermediate proficiency (e.g. SNMP, Prometheus, ELK, Grafana, VictoriaMetrics)
Aggregating data across multiple data sources as well as across two distinct entities (Comcast and Sky)
Establishing API connections to connect various tools and data
Identifying and standing up a new visualization tool to use for dashboards and visualizations (i.e. Tableau)
Automating, simplifying, and enhancing processes using programming languages, Excel Power Query, macros, etc.
Technical Responsibilities
Educational background: Computer Science, Information Technology or Software Engineering
Knowledge of Big Data Platforms and Technologies
Programming Skills: Intermediate Programming Language and Scripting skills (Python and Java) and the ability to review and modify code
Query Languages: Intermediate knowledge with SQL, NoSQL and GraphQL
Cloud Technologies: Experience with AWS
Big Data: Apache Spark, Databricks, ETL
Database: Experience with relational (postgres/Oracle), non relational databases (MongoDB)
Monitoring and Logging: Intermediate proficiency (e.g. SNMP, Prometheus, ELK, Grafana, VictoriaMetrics)
Data Storytelling: Identifying and standing up a new tool to use for dashboarding and visualizations (e.g. Tableau or PowerBI)
This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Job Posting Title
Data Engineer
Job Description Summary
Global Product Business Operations is a growing team that is part of the newly formed Chief of Staff Organization under the Global Product Organization (GPO). Focusing on financial operations, Bus Ops provides strategic and operational support to enable Global Product to run effectively and efficiently. Uniquely positioned, Bus Ops supports Comcast, Sky, Xumo and CTS. Our focus areas are driving financial operations, analyzing resource and investment allocations, and sharing data analytics & reporting to inform investment decisions.
Job Description
This role will be responsible for aggregating and visualizing data across Comcast and Sky for the Global Product Organization through the Business Operations and Chief of Staff function that requires capturing managing, storing utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis. Works with moderate guidance in own area of knowledge. This will be integral achieving our goals focusing around driving financial operations, analyzing resource and investment allocations, and sharing data analytics & reporting to inform investment decisions.
Requirements
Educational background: Computer Science, Information Technology or Software Engineering
Knowledge of Big Data Platforms and Technologies
Programming Skills: Intermediate Programming Language and Scripting skills (Python and Java) and the ability to review and modify code
Query Languages: Intermediate knowledge with SQL, NoSQL and GraphQL
Cloud Technologies: Experience with AWS
Big Data: Apache Spark, Databricks, ETL
Database: Experience with relational (postgres/Oracle), non relational databases (MongoDB)
Monitoring and Logging: Intermediate proficiency (e.g. SNMP, Prometheus, ELK, Grafana, VictoriaMetrics)
Aggregating data across multiple data sources as well as across two distinct entities (Comcast and Sky)
Establishing API connections to connect various tools and data
Identifying and standing up a new visualization tool to use for dashboards and visualizations (i.e. Tableau)
Automating, simplifying, and enhancing processes using programming languages, Excel Power Query, macros, etc.
Technical Responsibilities
Educational background: Computer Science, Information Technology or Software Engineering
Knowledge of Big Data Platforms and Technologies
Programming Skills: Intermediate Programming Language and Scripting skills (Python and Java) and the ability to review and modify code
Query Languages: Intermediate knowledge with SQL, NoSQL and GraphQL
Cloud Technologies: Experience with AWS
Big Data: Apache Spark, Databricks, ETL
Database: Experience with relational (postgres/Oracle), non relational databases (MongoDB)
Monitoring and Logging: Intermediate proficiency (e.g. SNMP, Prometheus, ELK, Grafana, VictoriaMetrics)
Data Storytelling: Identifying and standing up a new tool to use for dashboarding and visualizations (e.g. Tableau or PowerBI)
This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Salary : $110,000
