Kerja Sepenuh Masa, Informatica Developer di Coforge Federal Territory - Maukerja

Job Title: Informatica Developer (Data Engineering) – Banking Domain

Experience Level: 3–5 Years (L2)

Employment Type: Contract / Temporary

Location: Malaysia (onsite)

Role Overview

We, at Coforge, are looking for a skilled Informatica Developer with strong experience in data warehousing, ETL development, and banking domain projects. The ideal candidate will have hands-on expertise in Teradata/Hadoop and Oracle, along with relevant certifications.

This role involves building scalable data solutions, performing data mapping and modeling, and supporting enterprise-grade analytics platforms within financial services.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Informatica (or SAS)
• Perform data mapping, data modeling, and development of data marts
• Work with Teradata/Hadoop and Oracle databases for data integration
• Support data warehousing initiatives including data ingestion, transformation, and validation
• Collaborate with business stakeholders to understand analytical and reporting requirements
• Ensure data quality, governance, and compliance within banking systems
• Participate in SDLC processes, including development, testing, deployment, and support
• Provide L2/L3 production support where required

Mandatory Requirements

• Minimum 3+ years of development experience in:
• Data mapping, data modeling, and data mart development
• Informatica Certified (or SAS certification)
• Hands-on experience with any one of the following (mandatory):Teradata (TD)
• Hadoop (HD – Hive/HDFS)
• Oracle
• Must be certified in at least two technologies from the below:
• Database: Teradata DB or Hadoop Hive
• ETL: Informatica or SAS
• Analytics/Visualization: Power BI / Qlik Sense / SAS / Python / R
• Proven experience working in the Banking domain

Core Technical Skills

• Data Warehousing: Teradata (FSLDM/FSD, GCFR, TD Studio, MDM, Viewpoint, TASM)
• Big Data: Hadoop ecosystem (HDFS, Hive, HUE), basic Scala exposure
• ETL Tools: Informatica (preferred), SAS
• Databases: Teradata, Oracle
• Data Analytics Tools: Power BI, Qlik Sense, Splunk, R Studio, Python
• DevOps/CI-CD: JIRA, Jenkins, Bitbucket, QuerySurge
• Platforms (Good to Have):Red Hat OpenShift (containers, Kubernetes basics)

Good-to-Have Skills

• Data Lakes & Advanced Data Modeling
• AI/ML concepts or implementations
• Tools: DB2, AS400, Business Objects, Control-M, Putty, Aldon
• Operating Systems:
• Linux / Unix / Windows / AIX

Domain Expertise (Preferred)

Candidates with experience in Banking & Financial Services analytics will be highly preferred, including:

• Finance Analytics:
• Financial reconciliation, allocation, regulatory reporting
• Credit Risk Analytics:
• Risk exposure reporting, NPL, counterparty risk
• Customer & Credit Analytics:
• Credit scoring, segmentation, collections
• Product Knowledge:
• Treasury & Wealth (Murex)
• Trade Finance (FITAS, ARF)
• Retail Banking & Cards (SilverLake, Cardpac)
• Regulatory & Compliance:
• BCBS 239, Basel norms, GL reconciliation, compliance reporting

Additional Competencies

• Strong understanding of SDLC, Agile, and DevOps practices
• Business acumen and ability to translate functional requirements into technical solutions
• Strong analytical and problem-solving skills
• Effective communication and stakeholder management