Senior Data Platform Engineer
Apollo.ioFull Time
Senior (5 to 8 years)
Candidates must possess at least three years of dedicated experience in building and scaling data pipelines and data infrastructure, along with two years of experience working with cloud-based infrastructure, primarily utilizing AWS and Databricks. Strong programming skills in Python or a similar language are required, alongside hands-on experience developing and orchestrating workflows using Apache Airflow and expertise in building and optimizing distributed data processing systems with Spark/PySpark. Familiarity with OLAP and OLTP databases such as Clickhouse and Postgres is also necessary, as is knowledge of security, controls, and access management for data systems.
As a Data Platform Engineer, you will help level up Tatari’s data platform by designing, building, and scaling the infrastructure that powers data engineering, data science, and analytics efforts, contributing to industry standard data engineering practices and solutions, and bringing in new tools and technologies when necessary. You will also be responsible for doubling down efforts to scale current data infrastructure, and potentially deploying and managing open-source frameworks like Kafka, Kubernetes, Terraform, and Helm, as well as setting up observability and monitoring for data platforms.
Data-driven platform for TV advertising optimization
Tatari provides a platform that allows businesses to buy, measure, and optimize their TV advertising campaigns, making the process similar to digital advertising. The platform uses advanced analytics to deliver real-time data, helping clients make informed decisions about their advertising strategies. This enables them to identify the best networks and programs to reach their target audiences effectively. Unlike traditional TV advertising methods, Tatari's approach focuses on data-driven insights and performance measurement, allowing for flexible management of campaigns. The company's goal is to transform the TV advertising landscape by making it as measurable and manageable as digital ads, ultimately improving clients' advertising performance and return on investment.