Job Description

We are looking for a Full-Stack Senior Analitic Developer with experience in Big Data analytics, capable of designing and implementing end-to-end solutions that range from the ingestion and processing of large volumes of data to its visualization and integration with customer-facing products. It is a profile that integrates quickly, contributes from day one and raises the level of the team with technical criteria and professional maturity.
Send CV through getonbrd.com.

Pipeline experience
Design and implement robust and scalable data pipelines for the processing and analysis of audiovisual consumption metrics.
Develop APIs and backend services (Node.js) that feed dashboards, reports and analytics modules in real time.
Build data visualization interfaces with ReactJS, prioritizing clarity, usability and performance.
Model and optimize relational and NoSQL databases oriented to analytics (complex queries, aggregations, time-series).
Collaborate with Product, Data and Streaming teams to translate business needs into concrete technical solutions.
Actively participate in code reviews, promoting good practices and continuous improvement.
Contribute to the definition of the area's data architecture and propose improvements to the existing stack.
Mentor team developers, sharing technical criteria and experience.

Exclusives:
Minimum 10 years of experience as a Full-Stack developer, with at least 7 years working in analytics, data or Business Intelligence contexts.
Advanced proficiency in Node.js, JavaScript and ReactJS.
Solid experience with relational databases (PostgreSQL, MySQL) and NoSQL (MongoDB, Elasticsearch, Redis or similar).
Experience in designing and implementing data pipelines and event processing at scale.
Ability to model complex technical solutions and communicate them clearly to the team and stakeholders.
University degree in Computer Engineering, Computer Science or related field.

Experience with data visualization tools (Grafana, Metabase, Superset, D3.js or similar).
Knowledge of data streaming technologies (Kafka, Kinesis, Pub/Sub).
Experience with cloud services: AWS, GCP or Azure.
Familiarity with containers and orchestration (Docker, Kubernetes).
Previous experience in the audiovisual or streaming industry.
Have worked in geographically distributed teams.

Casual dress: