
Senior Data Integration Specialist
3 days ago
We are seeking an experienced Informatica Developer to join our team. The candidate will be responsible for ETL development, support, data cleansing, quality control, and transformation activities across multiple business applications.
This role requires handling day-to-day operations, troubleshooting, and participating in upgrades and process improvements.
Key Responsibilities- Develop, enhance, and maintain Informatica mappings, workflows, and sessions.
- Perform data extraction, transformation, and loading (ETL) from diverse sources such as flat files, Oracle DB, Salesforce, SAP (RFC/BAPI/OS integration), and others.
- Execute file validation scripts, encryption/decryption, file creation, and secure transfers.
- Support month-end activities, ensuring timely data loads and reconciliations.
- Monitor and troubleshoot ETL job failures, system performance, and process bottlenecks.
- Collaborate with cross-functional teams to support inflight projects (e.g., new company code inclusion in CMS, UAT upgrades, WC mapping discussions).
- Provide operational support for daily feeds including DDF, CDS, FAME, and others across multiple geographies (Japan, UK, France, New Zealand).
- Participate in Informatica upgrade projects, service restarts, and automation initiatives.
- 3–7 years of experience in Informatica PowerCenter / IICS (Informatica Intelligent Cloud Services).
- Strong expertise in ETL design, development, and performance tuning.
- Hands-on experience integrating with SAP, Salesforce, Oracle, and file-based systems.
- Familiarity with file encryption/decryption tools and secure data transfer protocols.
- Experience handling large-scale data (300GB DB, 350–400 files daily, 300+ interfaces).
- Strong troubleshooting skills for job failures, connection issues, and performance bottlenecks.
- Exposure to automation of validation processes, service restarts, and operational scripts.
- Experience working in multi-shift support models (APAC, IST, UK) and global team environments.
- Good understanding of data quality, cleansing, and transformation best practices.
- Flexible work arrangements
- Opportunities for professional growth and development
- A collaborative and supportive team environment
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