Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our
About IntouchCX IntouchCX is a global leader in digital customer experience management, back office processing, trust & safety solutions, and AI services. For over 25 years, we’ve scaled with soul, building trusted long-term partnerships and empowering
Job Summary The Data Engineer will be responsible for designing, developing, and managing data pipelines and architectures. S/he will ensure that data flows seamlessly from multiple sources into databases, data lakes, or warehouses and is processed
Job Summary The Data Engineer will be responsible for designing, developing, and managing data pipelines and architectures. S/he will ensure that data flows seamlessly from multiple sources into databases, data lakes or warehouses and is processed
Company Description About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything.
As a DataStage Developer, you will play a crucial role in designing, building, and implementing ETL (Extract, Transform, Load) solutions using IBMs DataStage interface. You will be responsible for creating and maintaining efficient data integration processes to ensure the
Integration Engineer Location: Makati City Schedule: Monday to Friday Shift In This Role, You Are Responsible For: As an Integration Engineer, you will connect disparate software modules, databases, and APIs to establish a unified data flow
Overview: As a Data Engineer, you will play a critical role in transforming raw data into valuable insights that drive our business decisions. You will design, develop, and maintain data pipelines and infrastructure across hybrid cloud
Key Responsibilities: Data Platform Design & Delivery Design and implement modern data platforms using Snowflake capabilities including data warehousing, data sharing, secure data collaboration, and (where applicable) Snowpark for data engineering. Build extract, load, transform (ELT) pipelines and transformations
Develop data integration jobs for ingesting data to a Big Data Platform Translate requirements from the business and analyst into technical code Develops necessary procedures and functions for ETL jobs and processes to extract, transform and load data from
Key Responsibilities Design, build, and maintain scalable data pipelines that extract, transform, and load data from multiple sources into centralized platforms such as data warehouses, lakehouses, and operational databases. Develop and manage end-to-end data workflows using Microsoft Fabric, including