Informatica IICS Lead Data

Tech Inc
United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Software as a Service Cloud Computing Cloud Database Data Integration Extract Transform Load (ETL) Data Warehousing Relational Databases Python (Programming Language) NoSQL
+11 more
SQL Databases Data Streaming Information Security Management System Google Cloud Azure Data Factory Snowflake Apache Kafka Cloud Integration Api Management Amazon Redshift User Accounts

Requirements

taskflows, troubleshoot issues, and optimize performance. Integrate multiple source and target systems, including APIs, relational databases, and cloud platforms. Administer the Informatica environment, including user accounts, permissions, connections, metering, license upgrades, and product upgrades. Establish and enforce data quality standards and validation processes. Conduct testing and quality assurance to identify and resolve integration issues. Collaborate with business analysts, architects, and data engineers to deliver integrated solutions. Provide technical guidance and mentorship to junior team members. Follow company policies, applicable US laws and regulations, and Information Security Management System (ISMS) procedures. Required Qualifications 8+ years of overall experience, including at least 5 years of relevant Informatica IICS/IDMC experience. Experience delivering 2-4 end-to-end IICS projects. Experience with Cloud Data Integration (CDI), Cloud Application Integration (CAI), Cloud Mass Ingestion (CMI), Cloud Integration Hub (CIH), Data Quality, and API Management. At least 2 years of hands-on CAI experience developing business process automation. Working knowledge of source and target systems, including API integrations. Strong understanding of data integration, ETL processes, data warehousing, and cloud technologies. Experience with relational database management systems. Familiarity with Azure or AWS cloud environments. Preferred Qualifications Experience with Python, Azure Data Factory, Amazon Redshift, or Snowflake. Practical experience with on-premises and cloud databases, including SQL and NoSQL. Exposure to streaming platforms such as Kafka. Familiarity with Google Cloud Platform (GCP). Bachelor’s degree.

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