Data Engineer
Denver, CO, United States
The Data Engineer will report directly to the VP of Data or team lead and work together with the rest of the data engineers, BI analysts, and product teams
The Data Engineer is responsible for developing, constructing, testing and maintaining Tipico’s data platform and pipelines
This is achieved by ensuring the infrastructure is reliable and a high level of data quality is maintained
Create and maintain both batch (ETL/ELT) and real-time data pipelines and architecture
Ensure all data provided by Data Platform is of the highest quality and is delivered in a timely manner and in line with agreed SLAs
Assemble large and complex data sets that meet functional and non-functional business requirements
Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
Collaborate with stakeholders including data architects, Executive, Product, Data and IT team members from the beginning to the delivery of a project
Build a scalable, modern, and trusted data ecosystem, making sure it is responsive, available and in line with business requirements
Take part in sprints, workloads, and deliverables through agile methodologies
Manage quality assurance, verification of accuracy and consistency of data, specifically KPI measures sent to the business
Responsibilities The Data Engineer will report directly to the VP of Data or team lead and work together with the rest of the data engineers, BI analysts, and product teams
The Data Engineer is responsible for developing, constructing, testing and maintaining Tipico’s data platform and pipelines
This is achieved by ensuring the infrastructure is reliable and a high level of data quality is maintained
Create and maintain both batch (ETL/ELT) and real-time data pipelines and architecture
Ensure all data provided by Data Platform is of the highest quality and is delivered in a timely manner and in line with agreed SLAs
Assemble large and complex data sets that meet functional and non-functional business requirements
Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
Collaborate with stakeholders including data architects, Executive, Product, Data and IT team members from the beginning to the delivery of a project
Build a scalable, modern, and trusted data ecosystem, making sure it is responsive, available and in line with business requirements
Take part in sprints, workloads, and deliverables through agile methodologies
Manage quality assurance, verification of accuracy and consistency of data, specifically KPI measures sent to the business
Job Description
The Data Engineer will report directly to the VP of Data or team lead and work together with the rest of the data engineers, BI analysts, and product teams.
The Data Engineer is responsible for developing, constructing, testing and maintaining Tipico’s data platform and pipelines. This is achieved by ensuring the infrastructure is reliable and a high level of data quality is... maintained. Key responsibilities include:
Create and maintain both batch (ETL/ELT) and real-time data pipelines and architecture
Ensure all data provided by Data Platform is of the highest quality and is delivered in a timely manner and in line with agreed SLAs
Assemble large and complex data sets that meet functional and non-functional business requirements
Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
Collaborate with stakeholders including data architects, Executive, Product, Data and IT team members from the beginning to the delivery of a project
Build a scalable, modern, and trusted data ecosystem, making sure it is responsive, available and in line with business requirements
Take part in sprints, workloads, and deliverables through agile methodologies
Manage quality assurance, verification of accuracy and consistency of data, specifically KPI measures sent to the business Company information
Tipico is a leading global sports betting company offering cutting edge digital and mobile betting entertainment to amp up the rush of the game for even the most passionate fans. Placing the highest level of value on engaging play, thrilling experiences and trustworthy player protection across 30 different sports, Tipico hosts online sports betting in New Jersey, Colorado, Ohio and Iowa, and an online casino in New Jersey. Tipico’s U.S. headquarters are located in Hoboken, New Jersey, and Denver, Colorado with outposts in Austria, Croatia, Columbia Germany and Poland.
Entertainment, Online Gaming, Casino, Gambling, Sports Betting
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