Senior Data Engineer - IICS/Informatica

Job Description :

Job Name : Senior Data Engineer - IICS

- Design, develop, and maintain end-to end data pipelines and infrastructure.

- Translate business and functional requirements into scalable, well documented technical solutions.

- Build and manage data flows across structured and unstructured data sources, including streaming and batch integrations.

- Ensure data integrity and quality through automated validations, unit testing, and robust documentation.

- Optimize data processing performance and manage large datasets efficiently.

- Collaborate closely with stakeholders and project teams to align data solutions with business objectives.

- Implement and maintain security and privacy protocols to ensure safe data handling.

- Lead development environment setup and configuration of tools and services.

- Mentor junior data engineers and contribute to continuous improvement and automation

initiatives.

- Coordinate with QA and UAT teams during testing and release phases.

Role Requirement :

- Solid understanding of data warehousing concepts, including dimensional modeling and SCDs.

- Hands-on experience with scripting languages (Shell / PowerShell).

- Familiarity with Cloud and Big data technologies.

- Experience working with relational, non-relational databases, and data streaming systems.

- Proficiency in data profiling, validation, and testing practices.

- Excellent problem-solving, communication (written and verbal), and documentation skills.

- Exposure to Agile methodologies and CI/CD practices.

- Self-motivated, adaptable, and capable of working in a fast-paced environment.

Additional Requirements :

- Overall 5 years and 3+ years of hands-on experience with Informatica IICS (Cloud Data Integration, Application Integration).

- Strong proficiency in AWS Redshift and writing complex SQL queries.

- Solid programming experience in Python for scripting, data wrangling, and automation.

- Experience with version control tools like Git and CI/CD workflows.

- Knowledge of data modeling and data warehousing concepts.

- Prior experience with data lakes and big data technologies is a plus.