Miracle Software Systems
21 hours ago
Position : IDMC Developers
Duration : Full Time
EXp : 6 years
Location : vishakhapatnam
Primary skills : IDMC
Job Description :
We are seeking an experienced Informatica Intelligent Data Management Cloud (IDMC) Developer to design, develop, and implement cloud-based data integration and management solutions. The role will focus on building robust ETL/ELT pipelines, enabling data migration, and ensuring high-quality data flows across enterprise systems.
Key Responsibilities :
- Design and develop data integration workflows using Informatica IDMC (IICS, CDI, CAI, DQ, etc.).
- Implement ETL/ELT pipelines for cloud and on-premise data sources.
- Collaborate with business analysts, data architects, and stakeholders to gather requirements.
- Optimize performance of data integration jobs, ensuring scalability and reliability.
- Perform data profiling, cleansing, and quality checks using IDMC Data Quality components.
- Develop reusable mappings, tasks, and templates aligned with best practices.
- Support production deployments, troubleshoot issues, and provide ongoing maintenance.
- Ensure data governance, security, and compliance standards are followed.
Required Skills & Qualifications :
years of experience in Data Integration with at least 1- 2 years on Informatica IDMC (IICS/CDI).
- Strong expertise in ETL/ELT design, data mapping, and transformation logic.
- Hands-on experience with IDMC modules: Cloud Data Integration (CDI), Cloud Application Integration (CAI), Data Quality (DQ).
- Knowledge of cloud platforms (AWS / Azure / GCP) and working with cloud-native data sources (S3, ADLS, BigQuery, Redshift, Synapse, etc.).
- Experience with REST/SOAP APIs, JSON, XML for application integration.
- Strong SQL skills and understanding of relational & cloud-native databases.
- Familiarity with Agile development and CI/CD pipelines for data workflows.
Nice-to-Have :
- Exposure to Informatica MDM, Axon, or Enterprise Data Catalog.
- Experience with Python, Spark, or other scripting languages for data transformation.
- Knowledge of data governance, metadata management, and data security practices.
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