Data & Integration Engineer
# Data & Integration Engineer **R Systems** · Bukit Merah · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role Responsibilities 1. System Analysis & Design Analyse business/technical requirements and translate them into data flows and integration designs. Work with upstream and downstream teams to define data contracts and interfaces. Identify gaps, inefficiencies and risks in current data movement processes. Propose pragmatic solutions balancing speed, quality and maintainability. 2. Integration & Data Movement Design and implement data movement across systems using: APIs SFTP and file based transfers Batch pipelines. Coordinate integrations across systems in the DataLake ecosystem (Informatica, Cloudera, etc.) \ Ensure data is correctly transformed, mapped and delivered to target systems. Troubleshoot integration issues across environments. 3. Data Preparation for GenAI Support data ingestion and preparation for GenAI use cases: document ingestion data aggregation enrichment and transformation Work with structured and unstructured data Ensure data is usable for downstream AI workflows (RAG, search, investigation flows) You are not asking them to build models, just make data usable for them. 4. Delivery & Coordination Work across multiple teams: data platforms application teams infrastructure security Support SIT, UAT and production rollouts. Ensure integration reliability, error handling and monitoring. Document flows, mappings and interfaces clearly. Requirement: 5-10 years of experience in system analysis, integration engineering, data engineering or technical delivery roles. Strong ability to translate requirements into system flows, data flows, interface specifications and implementation plans. Experience working with upstream and downstream teams to define and deliver enterprise integrations. Practical experience with REST APIs, SFTP, batch processing, file based integration and data pipeline orchestration. Good understanding of data mapping, transformation, aggregation, reconciliation and data quality controls. Good SQL skills and basic to moderate Python skills for data handling, scripting, automation and troubleshooting. Exposure to Java Exposure to Informatica, Cloudera or similar enterprise data platforms. Working knowledge of Git, branching, pull requests, code reviews and controlled release practices. Familiarity with CI/CD, Jira, Confluence and enterprise deployment processes. Experience with Control M or equivalent scheduling tools. Familiarity with logging (OTEL) and monitoring tools such as Splunk Elastic Stack. Exposure to GenAI concepts such as document ingestion, RAG, embeddings and data preparation for AI workflows. R Systems, founded in 1993, is a specialized IT Services & Solutions and IT-enabled Services provider catering to a wide range of global customers. We are endowed with some of the industry’s highest quality certifications and standards, including CMMI Level 5, PCMM Level 5, ISO 27001:2013 and ISO 9001:2008. Our IT services and solutions span five major verticals which include Telecom & Digital Media, Banking & Finance, HealthCare, Manufacturing & Logistics, and Government Services. Ever since our inception, we have grown in size and capability and currently operate from 11 development and service centers spread across Asia Pacific, Europe, and North America. We serve customers worldwide using our global delivery model and 2050+ expert resources. We have won countless accolades from global customers for our benchmarked delivery track record, quality standards, and adaptability to technological challenges. Our strength lies in our quality procedures, delivery and operational excellence, customer-centric approach, intellectual capital, and culture of innovation. With a rich legacy spread over two decades, we generate Value that helps organizations transcend to higher levels of efficiency and growth. Quite like the Oyster Delivering the Pearl!
Наблюдалась 2026-09-21, впервые 2026-09-21, источник — Indeed.