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Mô tả công việc: Key Activities: Backend Development: Design, develop, implement, and maintain Java applications. Frontend Development: Develop and maintain frontend applications using ReactJS. Code Quality: Write…
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Leads a team managing data engineering operations, production support, and cloud-based data pipelines/warehouses (Snowflake, AWS Glue) while migrating legacy Oracle/MS-SQL/Hive workloads and improving data quality/automation.
Senior Software Engineer at Lob building billing and payments solutions using Node.js, Go, and Vue.js in a service-oriented AWS architecture with SQS, Lambda, and Postgres.
The Senior Software Engineer will design and maintain high-volume, event-driven back-end services and data pipelines for the Fulfillment SaaS platform using Python, React, and TypeScript. The role involves leading architectural decisions, optimizing relational databases, and championing AI-first engineering practices within a hybrid team in Warsaw.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and lakehouse datasets to power analytics, ML, and business applications at Hertz.
Builds AI-native engineering software for X-energy’s Xe-100 nuclear reactor project, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate regulated workflows.
Builds AI-native engineering software for nuclear reactor development, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate workflows and ensure regulatory compliance.
Design and maintain data pipelines, warehouses, and lakes for a large bank, using Python, Databricks, and AWS to ensure accurate, secure, and accessible data.
Lead the modernization and replatforming of Wells Fargo's check processing applications using Java/J2EE, Spring, microservices, cloud platforms, object stores, workflow engines, and data streaming technologies.
Leads MLOps and forecasting platform architecture on Databricks, designing scalable pipelines for campaign projections, budget forecasting, and incrementality testing to optimize ad delivery at scale.
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage…
Cloud Engineer at FNBO driving AWS cloud modernization—building IaC with Terraform/Ansible, automating CI/CD pipelines, and managing infrastructure using monitoring tools like Dynatrace in a hybrid on-site/remote model.
Lead enterprise-scale data and AI platform modernization for a biopharma client, designing Databricks/AWS-based lakehouse architectures and guiding executive stakeholders through secure, governed transformations.
Builds and maintains scalable data pipelines for Blackline Safety’s IoT-enabled safety ecosystem, processing real-time and batch datasets from global devices to ensure accuracy, security, and timely delivery for product and engineering teams.
Principal Data Platform Architect designs and presents Snowflake’s cloud data platform to enterprises, guiding architecture decisions and POCs while bridging business and technical needs.
The Staff Software Engineer will design and optimize a scalable data platform for petabyte-scale IoT and telematics data using Java, Python, and various AWS technologies. This role involves leading technical strategy for data streaming, storage, and analytics pipelines while ensuring high system reliability.
The Senior Software Engineer will design and optimize a scalable data platform using Java and Python to manage petabyte-scale data streaming, storage, and analytics. The role involves building robust data pipelines and real-time systems using technologies like Kafka, Flink, and Apache Iceberg.
Lead the design and implementation of scalable data pipelines and architectures using SQL, Python, and cloud platforms (AWS/Azure/GCP) with big data frameworks like Spark/Hadoop, while mentoring engineers and enforcing best practices.
The Principal Data Engineer will design and deliver scalable data ingestion, integration, and transformation pipelines using AWS cloud-native tools and Snowflake. This role involves leading engineering teams, operationalizing ML and GenAI models, and ensuring data governance within banking and insurance domains.
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