Founded in 2010, our company is a global sports technology hub providing Real-Time results, in-depth stats, original content, customized news feeds, and more.
Our products are based on cutting-edge technology that enables live updates and on-demand content libraries of the highest quality and scale.
Our company mission statement is to transform the fan experience by offering the fastest, most accurate content with a lot of fun and excitement.
We are looking for an exceptional data Engineering team lead who is passionate about architecting, building, and maintaining data infrastructure from the ground up.
Responsibilities:
* Build and maintain the companys central data platform.
* Own the data architecture: ETL, Pipelines, Databases, data integrations, and more.
* Continuously maintain a healthy and up-to-date data tech stack, guaranteeing scalability and robustness.
* Understand the organization's data needs and provide solutions to other data stakeholders, such as data analysts, engineers and product managers.
* Produce state-of-the-art data engineering development methodologies, including code reviews, monitoring, tests (unit, component), infra as code, ci/cd, and more.
* Provide expert-level technical leadership and mentoring to the team.
* Collaborate with Analysts and Business Stakeholders on data requirements and functional specifications.
* Establish data infrastructure for the data Science team.
Our products are based on cutting-edge technology that enables live updates and on-demand content libraries of the highest quality and scale.
Our company mission statement is to transform the fan experience by offering the fastest, most accurate content with a lot of fun and excitement.
We are looking for an exceptional data Engineering team lead who is passionate about architecting, building, and maintaining data infrastructure from the ground up.
Responsibilities:
* Build and maintain the companys central data platform.
* Own the data architecture: ETL, Pipelines, Databases, data integrations, and more.
* Continuously maintain a healthy and up-to-date data tech stack, guaranteeing scalability and robustness.
* Understand the organization's data needs and provide solutions to other data stakeholders, such as data analysts, engineers and product managers.
* Produce state-of-the-art data engineering development methodologies, including code reviews, monitoring, tests (unit, component), infra as code, ci/cd, and more.
* Provide expert-level technical leadership and mentoring to the team.
* Collaborate with Analysts and Business Stakeholders on data requirements and functional specifications.
* Establish data infrastructure for the data Science team.
Requirements:
* 5+ years of hands-on experience as a BI Developer / data Engineer- a must.
* 2+ years of managerial experience- a must.
* BA/BSc in a related field (such as CS, engineering, information systems) or equivalent.
* High proficiency in SQL.
* High proficiency in Python – a Must.
* Experience working with cloud DBs (such as Snowflake or Redshift).
* Hands-on experience with developing end-to-end ETL /ELT processes.
* Proven experience with data warehousing, modeling paradigms and architectures, proficient in DWH methodologies and best practices.
* Experience with data visualization tools such as Tableau or Power BI- Advantage.
* Strong analytical skills and attention to detail.
* Comfortable working independently and leading projects from end to end.
* 5+ years of hands-on experience as a BI Developer / data Engineer- a must.
* 2+ years of managerial experience- a must.
* BA/BSc in a related field (such as CS, engineering, information systems) or equivalent.
* High proficiency in SQL.
* High proficiency in Python – a Must.
* Experience working with cloud DBs (such as Snowflake or Redshift).
* Hands-on experience with developing end-to-end ETL /ELT processes.
* Proven experience with data warehousing, modeling paradigms and architectures, proficient in DWH methodologies and best practices.
* Experience with data visualization tools such as Tableau or Power BI- Advantage.
* Strong analytical skills and attention to detail.
* Comfortable working independently and leading projects from end to end.
This position is open to all candidates.
