3 data engineer jobs found

Machine Learning Engineer Full Time (San Francisco) We’re looking for someone to continue leveraging our vast trove of medical imaging data in order to train and deploy deep neural network models. These models enable our surgical robot to understand and reason about both our robot and the patient’s anatomy, which ultimately gives doctors the insight and control necessary to quickly and safely complete the procedure.   remedy

Informatica Developer (7237-1) Owings Mills, MD Informatica Developer, Informatica PowerCenter, Big Data, PySpark, Apache Spark, Python, SQL, NoSQL, DB2, PostgreDQL, Snowflake, AWS, DevOps, CI/CD    If you post this job on a job board, please do not use company name or salary.     Experience level:  Mid-senior   Experience required:  7 Years   Education level:  Bachelor’s degree   Job function:  Information Technology   Industry:  Information Technology and Services   Pay rate :   View hourly payrate   Total position:  1   Relocation assistance:  No   Visa sponsorship eligibility:  No   Job Description: 7+ years of experience in Informatica Powercentre. 10+ years of experience in big data and distributed computing. Very Strong hands-on experience with PySpark, Apache Spark,...

Informatica IICS Powercenter / Data integration  Branchville, NJ (Short Hills, NJ by Oct/Nov) - Need locals  Here is the JD: Key Responsibilities - Hands-on development and support of new and existing data integration applications using Informatica (PowerCenter, IICS, or equivalent), with a strong focus on code quality, deployments, and operational stability. - Informatica coding and implementation: design and build mappings, mapplets, reusable transformations, workflows, sessions, parameter files, and deployment artifacts; implement error handling, logging, and restartability. - SQL analysis and optimization: author and tune complex SQL queries, analyze execution plans, optimize joins/index usage, and implement set-based transformations for performance and scalability. - Translate business requirements into data solutions: work with business analysts to profile source data, define transformation logic, and validate outputs against business rules. - Architectural...