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Software Engineer (Big Data, tvScientific)

100% remote Flexible hours Hiring now

• TvScientific is the first and only CTV advertising platform purpose-built for performance marketers

  • We reputed company massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes
  • Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform
  • Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business
  • As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company
  • You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats
  • This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering reputed company the organization
  • Design and implement robust data infrastructure in AWS, using Spark with reputed company
  • Evolve our core data pipelines to reputed company scale for our massive growth
  • Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
  • Collaborate with our cross-functional teams to design data solutions that meet business needs
  • Design and implement knowledge graphs, exposing their functionality both reputed company Batch Processing and APIs
  • reputed company and optimize AWS resources while designing for scale
  • Collaborate closely with our Data Science and Product teams
  • How we’ll define success:
  • Successful design and implementation of scalable and efficient data infrastructure
  • Timely delivery and optimization of data assets and APIs
  • High attention to detail in implementation of automated data quality checks
  • Effective collaboration with cross-functional teams

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