... senior engineers. Assist in the implementation of components of distributed systems that support horizontal and vertical scaling under the guidance of senior engineers. - Optimize code segments and/or systems for large-scale data processing with oversight from senior engineers. - Learn about the use of data plane platforms ...
... quality engineering — generating tests, synthetic data, and automation scaffolding. - Drive root cause analysis for production platform issues and partner with engineering teams on preventive improvements. - Champion quality engineering and reliability best practices across the AI Platform organization. What We’re Looking For ...
... and engineers) to understand business needs and translate them into technical data solutions. Ensure data integrity, security, and governance across multiple data sources. Optimize query performance and database architecture for efficiency and scalability. Lead troubleshooting and debugging efforts for data-related issues. ...
Responsibilities Effectively lead data path areas of the XC product line Understand the distributed systems deeply and design scalable solutions Technically lead the implementation of major system components Document software designs via functional specifications and other design documents Proactively identifying and resolving ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : AWS Glue ...
... databases, and APIs.- Implement LLM evaluation, guardrails, monitoring, security, and responsible AI practices.- Deploy and manage GenAI applications on Azure, AWS, or GCP.- Optimize AI solutions for accuracy, scalability, latency, reliability, and cost.- Collaborate with business stakeholders, architects, data engineers, ...
... scalable data pipelines using technologies like Scala, Spark, Python, and Airflow. Set technical standards and best practices across data engineering teams. Oversee AWS-based data infrastructure (S3, Redshift, Glue, EMR), ensuring reliability and performance at scale. Mentor and guide teams on advanced system design, data observability, ...
... Spring / Spring Boot preferred. Proven track record designing and building REST APIs and microservices. Working knowledge across the stack: relational + NoSQL databases, messaging (Kafka/RabbitMQ), caching (Redis/Memcached). Exposure to cloud platforms (AWS/GCP/Azure) and modern practices: CI/CD, automated testing, observability. ...
... Responsibilities The Machine Learning Engineer will be responsible for supporting the deployment and maintenance of machine learning models under the guidance of senior engineers. This role assists in data preprocessing, feature engineering, model training, and evaluation tasks. This role involves learning and applying machine learning ...
Job Title: Data Engineer - AWS MSK Specialist Job Summary: We're looking for a skilled Data Engineer with expertise in AWS Managed Streaming for Apache Kafka (MSK) to design, build, and maintain high-performance data pipelines. You'll work closely with data architects and software engineers to ensure seamless data integration ...
... integration level (Test Pyramid concept) Sonar, Zally, Checkmarx ) and techniques to scan and measure code quality and anti-patterns as part of development activity data protection, authentication, authorization), regulatory, and performance (SLAs, throughput, transactions per second) Jenkins, AWS/Azure pipelines, XL Release, ...
About your role: You will be responsible for developing new Product features, enhancements, and Tech improvements. We are interested in hiring flexible engineers who are not afraid to be involved in product discussions and work with multiple parts of the stack. What you will do: Design, development of new features or enhancing ...
... distributed engineering team where experienced engineers are trusted to own outcomes, solve meaningful technical challenges, and contribute to innovations that advance data-driven healthcare worldwide. What you will do - Build and operate scalable cloud infrastructure and CI/CD pipelines across AWS environments - Automate deployments ...
As a System Development Engineer , you will take ownership of key workstreams within Amazon's Region Flexibility Migration team, driving critical infrastructure migration initiatives that enable Amazon's services to operate across multiple AWS regions. You will lead the development of automation frameworks, mentor junior ...
... applications, state-of-the-art tech platforms, big data analytics, and mobile applications. Developing solutions and building flexible systems that balance engineering complexity and timely delivery, creating business impact. Help, mentor, and coach a team of very talented engineers, drive code and design reviews of systems/components ...
... Education and/or Experience: 8 years of experience in software engineering, infrastructure management, or related field OR Bachelor's Degree in Computer Science, Engineering, or related field AND 4 years of experience in software engineering, infrastructure management, or related field OR Master's Degree in Computer Science, ...
... Oversight :- Provide architectural guidance for ETL/ELT pipelines using Fabric Data Factory and Spark.- Oversee development of PySpark, SQL, and notebook-based data solutions.- Define best practices for data modeling (Star schema, Data Vault, dimensional modeling).- Ensure alignment between data engineering, BI, and AI/ML ...
... integrations, or DRM.- Hands-on 10-foot development experience across Samsung Tizen, LG webOS, Apple TV, or Android TV / Fire TV.- Familiarity with client-side data event instrumentation.- Knowledge of https://jobeax.com/link/JSd7UYCSg572jJDY, AWS (Lambda, S3, CloudFront), or back-end concepts.- Curiosity about the full stack ...