Lead Data Engineer

Role: Lead Data Engineer Location: Remote Mandatory Skills- Informatica IICS and Administration, Any RDBMS, Azure/AWS Primary Skill :Informatica IICS (CAI, CDI) and Administration Skills - Good to have Python, ADF, Redshift/ Snowflake 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 project 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 API’s. 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, 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.