Data Engineer Night Shift 9pm-6am Remote About the Role: The ETL Data Engineer is mainly responsible for transforming replicated source data into data products that are easily consumed by the Reporting team and other downstream users.
JOB SUMMARY The Data Engineer is responsible for designing, developing, and maintaining data processing systems that ensure efficient data collection, transformation, and integration. The role focuses on designing scalable architectures for batch and real-time processing, applying
Responsibilities: I. Project implementation and support Collect, understand and communicate the business requirements for the project, and translating these into functional specifications. Set-up solution and define/deploy/test functional specification into the application (as the configuration of user
Data Engineer Job Summary We, at Coforge, are seeking an experienced Data Engineer with strong hands-on expertise in dbt, Argo Workflows, and Kubernetes-based data platforms. The ideal candidate will design, build, and operate scalable, reliable data
GyanSys seeking an experienced SAP Datasphere and at least 5 years of experience in SAP. The ideal candidate will have strong SAP technical skills and have exposure to latest S/4 technologies. This role requires the ability
About Advanced Energy Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and
Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first
Responsibilities: Support and manage Cloudera Data Platform (CDP) and Oracle database environments. Monitor, troubleshoot, and resolve data pipeline, job failure, and performance issues. Support batch and streaming data ingestion and optimize data storage (partitioning, retention, lifecycle).
Roles & responsibilities Contribute to the development of data ingestion, transformation, and integration pipelines on Azure Support the implementation of ETL/ELT workflows using Azure Data Factory, Synapse, Databricks, and other Azure-native services Participate in building and
Position Responsibilities : The Data Enablement Engineer plays a critical role in transforming enterprise data into trusted, scalable, and business-ready data products that power analytics, decision-making, and next-generation AI capabilities across the organization . Operating at