Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center
Schedule: Mid Shift Employment: Full Time Summary: The Datawarehouse Developer has responsibility of development and maintenance of Reinsurance Datawarehouse Application used extensively by Reinsurance business teams. The Senior Datawarehouse Developer will work closely with the rest of the
Job Description: Design, develop, and maintain ETL pipelines using Informatica, Azure Data Factory (ADF), and Databricks Perform migration of legacy ETL workflows (Informatica) to Databricks using Python/PySpark Analyze existing ETL workflows and re-engineer into optimized Spark-based transformations Develop data
Job Summary We are seeking a Senior Developer to design and build applications that support data science, AI, and machine learning initiatives. This role focuses on cloud-native application development, system integration, and building scalable data-driven systems using
Job Summary The Senior Developer will be responsible for designing, building, and leading the development of applications that power Data Science, AI, and Machine Learning initiatives. S/he excels in cloud-native development (AWS and/or Databricks), application integration, and building
Experience: 4 to 20 years (Consultant & Assistant Manager & Manager) Location: Makati - Hybrid No of openings: 8 Required Skills: • Minimum 4 years of experience in Azure Microsoft data engineering. * Experience in data
Work ScheduleStandard (Mon-Fri) Environmental ConditionsOffice Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to
Experience: 4 to 15 years (Consultant / Assistant Manager / Manager) Location: Makati - Hybrid Key Responsibilities: - Design, build, and maintain data infrastructure for organizations using Azure cloud services - Create data pipelines, integrate data
Position Snapshot Title: Senior Data Integration Engineer Employment Type : Contract Contract Duration : 1 Year (Extendable) Work Location: Mandaluyong Work Arrangement: Hybrid (3 days onsite per week) Working Hours: 8:00 AM – 5:00 PM Manila
Job Summary We are looking for a skilled and detail-oriented Database Architect to design, develop, optimize, and manage scalable database solutions that support enterprise data platforms and business applications. The ideal candidate will have strong experience
Job Summary We are seeking a Senior Cloud & AI Engineer to design, build, and lead cloud-native applications that support AI, machine learning, and data-driven solutions. The role involves close collaboration with the Data Team to
Overview: As a CX Analyst at Maya, you will leverage data-driven insights to shape product strategies that enhance user experience and drive business growth. You’re highly analytical and detail-oriented who will play a crucial role in
Experience: 4 to 15 years (Consultant / Assistant Manager / Manager) Location: Makati - Hybrid Key Responsibilities: - Design, build, and maintain data infrastructure for organizations using Azure cloud services - Create data pipelines, integrate data
Job Description: Senior Data Integration Engineer. Scope of Work/Responsibilities Data Integration Pipeline Development Design, develop and test data pipelines to extract, transform, and load data from diverse source systems into target data models and the target
We are looking for a Senior Software Engineer to build and lead applications that support Data Science, AI, and Machine Learning projects. You will design cloud-based apps, APIs, and automation tools, integrate systems, and help deploy
Role Overview A leading technology consulting organization is seeking an experienced Data Engineering Consultant with deep expertise in the Microsoft Azure ecosystem. In this role, you will be responsible for architecting, developing, and sustaining scalable data