Software Engineer (Backend- Python)
NavaFull Time
Junior (1 to 2 years)
Candidates must have 3+ years of experience developing software with object-oriented and/or functional programming languages, specifically Python, and 2+ years building distributed systems at scale. A minimum of 2 years with a modern data stack including technologies like RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, and dbt is required, along with deep SQL and data modeling expertise. Experience with API frameworks and developing AI/ML features is considered a plus.
Backend Engineers will write clean, concise application code in modern Python, participate in technical architecture discussions, and conduct peer code reviews. They will drive architectural changes such as enhanced data pipelines and scalable APIs, and collaborate cross-departmentally to understand business needs and develop new product features.
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.