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About the role
Design, build, and maintain data pipelines, ETL/ELT workflows, and scalable microservices.
Development of complex web scraping (playwright) and realtime pipelines (Kafka/Queues/Flink)Develop end-to-end microservices with backend (Java 5+, Python 5+, Spring Batch 2+) and frontend (React or any).
Deploy, publish, and operate services in AWS ECS/Fargate using CI/CD pipelines (Jenkins, GitOps).
Architect and optimize data storage models in SQL (MySQL, PostgreSQL) and NoSQL stores.
Implement web scraping and external data ingestion pipelines.
Enable Databricks and PySpark-based workflows for large-scale analytics.Build advanced data search capabilities (fuzzy matching, vector similarity search, semantic retrieval).
Apply ML techniques (scikit-learn, classification algorithms, predictive modeling) to data-driven solutions.Implement observability, debugging, monitoring, and alerting for deployed services.Create Mermaid sequence diagrams, flowcharts, and dataflow diagrams to document system architecture and workflows.
Drive best practices in fullstack data service development, including architecture, testing, and documentation.
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