Responsibilities: Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process data quickly at big data scales Responsible for design and implementation data integration pipelines on AWS Big Data tech stack, using Apache Spark, Hive, HBase, ELK, PostgreSQL, Lambda. Contributes design, code, configurations, and documentation for components that manage data ingestion, real-time streaming, batch processing, data extraction, transformation, and loading across multiple data storages. Owns one or more key components of the infrastructure and works to continually improve it, identifying gaps and improving the platform’s quality, robustness, maintainability, and speed. Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members. Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.…