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Lead Data Engineer

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Onsite

Lead Data Engineer

Experion Technologies

Lead Data Engineer

Skills

Google Cloud PlatformSQL QueriesTesting & QAKafkaAWSAzure

3 days ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Onsite

Published on:

24 October 2026

What they need


Job Purpose (Both Onsite / Offshore)

Responsible for end-to-end development and administration & management of data integration modules using Informatica Cloud services.

Job Description / Duties and Responsibilities

  • The job duties and requirements are defined for the role of Informatica IICS Data Engineer.
  • The senior role provides technical leadership and mentorship to junior team members.
  • The candidate should have relevant experience working in at least 2 to 4 end-to-end projects involving IICS.
  • This position ensures the performance of all duties in accordance with the company’s policies and procedures, all U.S. state and federal laws and regulations, wherein the company operates.

Job Specification / Skills and Competencies

  • Minimum 5+ years' experience with Informatica Data Management Cloud (IDMC), particularly with Cloud Data Integration (CDI), Cloud Application Integration (CAI), Cloud Mass Ingestion (CMI), and Cloud Integration Hub (CIH), Data Quality, API Management.
  • 2+ years hands-on experience with CAI – Processes, Service Connectors, Process Objects – developing business process automation.
  • Must have working knowledge in handling various source/target systems, including APIs.
  • Create and test complex mapping tasks and task flows, debug issues, and implement performance optimization techniques.
  • Collaborate with cross-functional teams, including business analysts, architects, and data engineers, to deliver integrated data solutions.
  • Perform administrator activities like user account management, setting up permissions, creating connections, metering, license upgrades, and product upgrades.
  • Strong understanding of data integration, ETL processes, data warehousing, and cloud technologies.
  • Establish and enforce data quality standards and data validation processes.
  • Conduct testing and quality assurance of data integration solutions to identify and resolve issues.
  • Practical experience in both OnPrem and Cloud databases (SQL, NoSQL, etc.), and streaming platforms like Kafka is desirable.
  • Fundamental understanding of cloud ecosystems like AWS, Azure, or GCP.
  • To adhere to ISMS policies and procedures.

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