Informatica Cloud Data Integration Engineer

6 days ago


Delhi, Delhi, India Metacube Software Pvt. Ltd. Full time

Metacube Software Pvt. Ltd. is seeking an experienced Informatica Cloud Data Integration Engineer to join our team. The estimated salary for this position in a permanent remote setting is $120,000 - $180,000 per year.

Job Description:

We are looking for a skilled professional with 5-10 years of experience in developing, optimizing, and deploying data integration solutions on Informatica Cloud. This role requires expertise in data ingestion, data quality, data validation, and mass data integration.

Key Responsibilities:
  • Data Integration and Ingestion: Develop, configure, and maintain Informatica Cloud solutions for seamless data integration and mass data ingestion.
  • Data Validation and Quality: Implement data validation and data quality processes to ensure high standards of data accuracy, consistency, and completeness.
  • Data Pipelines and Workflows: Design, build, and optimize data pipelines and workflows in Informatica Cloud for efficient data integration.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams to understand data requirements, ensuring effective data management practices are followed.
  • Troubleshooting and Documentation: Monitor and troubleshoot issues in data workflows, ensuring data quality and performance optimization. Document processes, best practices, and technical specifications related to data integration and ingestion.
Must-Have Skills:
  • Informatica Cloud: Proven hands-on experience with Informatica Cloud for data integration and management.
  • Data Ingestion: Experience in large-scale data ingestion processes.
  • Data Validation: Ability to design and implement robust data validation frameworks.
  • Data Quality: Knowledge of data quality tools and best practices to ensure data integrity.
  • Data Integration: Strong understanding of ETL and data integration processes using Informatica Cloud.
Preferred Qualifications:
  • Data Governance and Lineage: Experience with data governance and data lineage concepts.
  • Scripting Languages: Familiarity with scripting languages (e.g., SQL, Python) for data manipulation.
  • Cloud Platforms: Knowledge of cloud platforms and infrastructure (AWS, Azure, GCP).
  • Problem-Solving Skills: Strong problem-solving skills and attention to detail.
Requirements:
  • Bachelor's Degree: Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience: 5-10 years of experience in data integration and engineering.


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