Job Description

Data Integration Engineer

About Oracle FSGIU - Finergy:

The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals.

Job Summary:

We are seeking an experienced engineer with a strong background in data integration, quality, and master data management. The ideal candidate will contribute immediately to ongoing and new projects, leveraging advanced tools in the

Informatica suite

and supporting technologies.

Job Responsibilities

Design, develop, and support integration solutions using Informatica Intelligent Data Management Cloud (IDMC) Cloud Data Integration (CDI). Maintain and enhance Master Data Management (MDM) processes, utilizing Informatica MDM Multidomain Edition (MDE) on JBoss Application Server. Configure, develop, and deploy data quality solutions leveraging Informatica Data Quality (IDQ), including rule/mapping design and lifecycle management. Manage job schedules, dependencies, and calendars by creating and maintaining Autosys job scheduling workflows. Integrate and operate solutions on AWS Cloud, specifically using EC2 and S3, with working knowledge of IAM and basic networking. Build and maintain CI/CD pipelines to automate build, deployment, and release processes across Informatica IDMC, MDM, and IDQ environments. Develop and troubleshoot SQL queries, ensuring optimal data operations and performance. Create and maintain Linux shell scripts to automate operational and support tasks.

Core Requirements:

Hands-on experience with Informatica

IDMC CDI

Working experience/knowledge of

Informatica MDM MDE

running on

JBoss Application Server

Informatica IDQ

(development/configuration, rule/mapping design, deployments)

Autosys job scheduler

(create/maintain schedules, dependencies, calendars)

AWS

cloud services (at minimum:

EC2

,

S3

; familiarity with

IAM

, networking basics helpful)

CI/CD pipelines

for

IDMC

,

MDM

, and

IDQ

changes (e.g., build/release, approvals, artifact promotion)

Expertise in

SQL

(optimization, troubleshooting) and

Linux shell scripting

(automation, operations)

Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience) 6+ years of relevant professional experience Demonstrated ability to work collaboratively in cross-functional teams Excellent troubleshooting, problem-solving, and communication skills

Soft Skills:

Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, agile environment.

Job Responsibilities

Design, develop, and support integration solutions using Informatica Intelligent Data Management Cloud (IDMC) Cloud Data Integration (CDI). Maintain and enhance Master Data Management (MDM) processes, utilizing Informatica MDM Multidomain Edition (MDE) on JBoss Application Server. Configure, develop, and deploy data quality solutions leveraging Informatica Data Quality (IDQ), including rule/mapping design and lifecycle management. Manage job schedules, dependencies, and calendars by creating and maintaining Autosys job scheduling workflows. Integrate and operate solutions on AWS Cloud, specifically using EC2 and S3, with working knowledge of IAM and basic networking. Build and maintain CI/CD pipelines to automate build, deployment, and release processes across Informatica IDMC, MDM, and IDQ environments. Develop and troubleshoot SQL queries, ensuring optimal data operations and performance. * Create and maintain Linux shell scripts to automate operational and support tasks.