The role requires expertise in system engineering with a strong focus on Cloud Operations and DevOps practices. The candidate should have hands-on experience with Google Kubernetes Engine (GKE), continuous integration and continuous delivery (CI/CD) pipelines, and observability and monitoring tools. A solid understanding of cloud infrastructure management and operational automation is essential.
The role requires software engineers with a strong programming background, primarily in Java, and a solid understanding of API standards and microservices architecture. Proficiency in building and deploying applications using Spring Boot and Kubernetes (K8s) is essential. Experience in platform engineering, including parallel and distributed computing, is highly desirable.
The candidate should be an experienced Informatica MDM engineer with expertise in Hub Console, IDD, and BES SIF APIs, combined with strong Java development skills to support program requirements and integration flows. Responsibilities include handling production support operations and implementing enhancements on the current MDM stack, performing configuration updates, resolving production issues, conducting root cause analysis (RCA), and executing data fixes as required.
The candidate should have strong hands-on experience in configuring the Reltio Data Model (Level 3), including survivorship rules, match/merge rules, data validation rules, cleanser functions, stewardship workflows, Reltio UI configuration, Reference Data Management (RDM), Logical Configuration Application (LCA), relationships, and hierarchies. The role requires expertise in building and consuming RESTful APIs for integrating Reltio MDM with enterprise systems, along with proficiency in JSON, OAuth 2.0, and handling both real-time and batch data flows. A deep understanding of Reltio data modeling, match/merge logic, and outbound event handling is essential.
The candidate should have strong experience in data extraction, transformation, cleansing, validation, and bulk loading into the Reltio MDM platform. Proficiency in SQL and ETL scripting (such as Python or TLEd) is required, along with familiarity with the Reltio Data Model (Level 3), JSON formats, and Reltio Loader. The role requires expertise in CLI- and API-based ingestion processes, Reltio Bulk API processing, Reltio Logical Configuration Application (LCA), and data quality rule implementation. Hands-on experience with ETL development using Java or Python is also essential.
This is a full-time role for an IICS, SaaS MDM Developer. As an IICS, SaaS MDM Developer, your main responsibilities will include developing and maintaining Informatica MDM/EDC mappings using IICS & SaaS. You will be tasked with creating cleansing routines for data, as well as creating and maintaining validation rules using Informatica DQ. Additionally, you will be responsible for testing and debugging mappings and providing support for full-life cycle development for Informatica MDM and IICS, SaaS. You should have at least 4 years of experience with Informatica MDM SaaS projects. It is essential to have hands-on experience with CDI, CAI, or CDQ, and experience in at least one migration or modernization project (from traditional MDM to SaaS MDM). A good understanding of MDM Match and Merge concepts, including trust, survivorship, match strategies, and source rankings, is required. Knowledge of REST SaaS APIs, Business/Publish events, DQ rules, Egress/Ingress task flows, and XQuery Scripting is also necessary. Experience in discovery, data profiling, uniqueness, completeness, relationships, data types, testing, and debugging mappings is expected. Personal attributes that will contribute to your success in this role include excellent problem-solving and analytical skills. You should be able to work independently and as part of a team, collaborating with architects, DQ, ETL, and QA team members. Having relevant Informatica certifications would be advantageous. Moreover, the ability to create technical documents such as use cases, technical specifications, low-level task schedules, and preparing mind maps to explain technical flows and problem-solving sessions is highly valued.,