Miracle Software Systems

3 weeks ago

Visakhapatnam, India Miracle Software Systems Full time

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 :

- 3- 6 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.


(ref:hirist.tech)

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