Data Engineer III

Next-generation media technology company providing cloud broadcast and targeted advertising solutions to broadcast TV and streaming TV platforms.
Data
Senior Software Engineer
In-Person
501 - 1,000 Employees
6+ years of experience
Enterprise SaaS

Description For Data Engineer III

Amagi is a leading media technology company that provides cloud broadcast and targeted advertising solutions. The role is for a Data Engineer III position in the Amagi Monetise group, focusing on building the New Dataplatform from scratch. This platform will enable customers with highly informative data analytics of streaming information across channels, platforms, and deliveries. The position requires building efficient, cost-effective, and scalable data pipelines to handle TBs of daily data ingestion. As a senior member of the team, you'll be responsible for technical leadership, mentoring engineers, and ensuring best practices in development. The role offers an opportunity to work with cutting-edge data technologies and shape the future of streaming analytics. Amagi has a global presence across major cities and serves 700+ content brands, making it an exciting place for career growth in the media technology sector. The position reports to the Director of Data and requires both technical expertise and leadership skills to drive the team's success in building robust data solutions.

Last updated 6 minutes ago

Responsibilities For Data Engineer III

  • Take complete ownership of feature requirements from conception till delivery
  • Build, deploy and maintain highly scalable data pipeline framework
  • Collaborate with product, business, design and engineering functions
  • Lead design discussions and code reviews
  • Set up best practices, guidelines and standards in the team
  • Identify and resolve performance and scalability issues

Requirements For Data Engineer III

Python
  • Bachelor's/master's degree in Computer Science with 6+ years of overall experience
  • Technical leadership roles of 2+ years
  • Data platform knowledge from ingestion, processing, warehousing
  • Deep understanding of ETL frameworks
  • Deep understanding of OLAP systems and data modeling
  • Strong Experience in Scala or Python
  • Strong knowledge in public clouds (AWS, GCP etc.)
  • Experience in architecting and building scalable big data analytics pipelines
  • Strong debugging skills
  • Strong experience in Agile development methodologies

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