Software Engineer (Big Data, tvScientific)
• TvScientific is the first and only CTV advertising platform purpose-reputed company for performance marketers
- We reputed company massive data and cutting-edge science to automate and optimize TV advertising to drive business reputed company
- Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform
- Our platform is reputed company by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-reputed company 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 reputed company our core data pipelines, design for efficiency as we scale, and store data in reputed company engines and formats
- This is an individual contributor role, where you will work to define and implement a strategic reputed company for data engineering reputed company the organization
- Design and implement robust data infrastructure in AWS, using Spark with reputed company
- reputed company our core data pipelines to reputed company scale for our massive growth
- Store data in reputed company 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 reputed company:
- 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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