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Designs and optimizes AWS-based data pipelines and models for large-scale cloud platforms, bridging data engineering and science using services like Redshift, DynamoDB, and Lambda.
Builds and maintains React-based frontend and Node.js backend features for a brand-performance analytics platform, integrating AI-driven insights and modern cloud tech.
Job Description Job Description About Us At Rigetti, our mission is to build the world’s most powerful computers to solve the world’s most challenging problems. Rigetti is a pioneer in superconducting Qubits and full…
Build and scale a cloud-native, multi-tenant data platform for the automotive industry, enabling real-time analytics and AI use cases across thousands of dealerships.
Lead the build of a cloud-scale data platform from ingestion to warehouse, designing real-time pipelines and AI-powered analytics for a global fintech trading platform.
Lead cloud infrastructure, SRE, and DevOps for a fintech platform, designing scalable systems and mentoring teams to improve reliability, security, and deployment velocity.
Builds and maintains scalable AWS-based data pipelines and integrations for K-12 online learning, automating school-management workflows with Python, SQL, and event-driven architectures.
Builds and maintains Databricks Lakehouse data pipelines and AI foundations for clients, designing medallion architectures, Delta Lake tables, and Unity Catalog governance to power analytics and AI-enabled products.
Build and maintain data lakes, warehouses, and pipelines using AWS tools (EMR, Glue, S3, Lambda) and Python/Scala; mentor junior engineers and enforce coding standards.
Principal Architect designs and builds scalable, secure data solutions for financial services using cloud technologies, data warehouses, and streaming pipelines.
Build and optimize cloud-scale data pipelines on AWS and Databricks for government clients, focusing on Delta Lake, PySpark, and governed analytics-ready datasets.
Build and maintain ETL pipelines in Informatica and AWS/Databricks, creating Java-based data services and APIs to move and curate enterprise data for analytics.
Role Overview: We are looking for a skilled and passionate Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform. The successful candidate will be…
Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the…
Build and optimize data pipelines, storage systems, and analytics platforms using Python, Spark, SQL, and cloud services to enable predictive modeling and business insights for a global financial services firm.
Lead a team building and maintaining full-stack insurance pre-sales platforms using Java, JavaScript/React, Spring Boot, and Node.js, deployed on AWS.
Build Python-based APIs and cloud infrastructure using FastAPI, Terraform, AKS, and Docker, while collaborating with global clients to deploy scalable, secure systems.
Build and maintain scalable data pipelines and storage systems using Python, Spark, SQL, and cloud tools to power analytics and ML at a global financial services firm.
Build and maintain cloud-based RESTful APIs and microservices using Java, Spring Boot, and AWS to power Caterpillar’s digital platform and global data flows.
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