Design, build, and operate our foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores. Build and maintain data integration & process SDKs for use by internal services and product teams throughout Coinbase.

Kyivstar.Tech team is looking for an ETL developer to develop functionality, ensuring the operation of processes, create orders and aggregation processes using ETL, and develop processes related to data processing and interaction with systems.

Shape the architecture for key AI/ML projects while engaging with customers to provide architectural advice. You'll build out the architectural side of next-generation machine learning products as part of a team of experts in the fields of AI and data. The role is customer-facing, working closely with business and technical influencers, and requires a Computer Science background.

Join the Integrations Team and play a critical role in driving the growth of the company and ensuring the success of clients by seamlessly onboarding and integrating data from diverse data sources into ClickHouse. Build a high-performance data onboarding platform capable of handling petabytes of data in real-time.

The AI Data Infra team is responsible for storage, access, and curation of the data across the company and across all the ML use cases; this role requires designing the architecture and leading a team to build a robust data platform that powers all the next-gen AI Autonomous Vehicle applications in the company.

The Bioinformatics Engineer will provide technical expertise and process completion. Through collaboration between the product and development teams, the Bioinformatics Engineer will help complete projects for the array of Oncology bioinformatics pipelines. The successful candidate will also help drive architectural decisions and provide data analysis oversight for these genomics data.

Build and maintain scalable and performant ETL data pipelines from analysis to production. Able to perform both new feature development and maintenance on all Civitas ETL data pipelines and infrastructure. Able to optimize existing data flow architecture for performance improvement and cost reduction. Able to work across multiple products and engineering teams to resolve customer issues.

You will play a crucial role in developing, implementing, and testing financial models, algorithms, and cash flow simulations; leveraging expertise in econometric modeling and statistical analysis to translate complex mathematical and financial logic into software code, contributing to business decisions, financial reporting, and risk management.