• Gathering the ETL/ELT requirements.

• Design, Develop, Test ETL/ELT different scenarios and support the ETL/ELT processes to Extract, Transforming and Loading data from different sources to the data warehouse.

• Create and maintain optimal integration solutions including data pipeline architecture.

• Analyze multiple sources of structured and unstructured data to propose and design data architecture solutions for scalability, high availability, fault tolerance, and elasticity.

• Assist architects in the design and implementation of high-performance systems with large volume data integration processes, database, storage and provisioning.

• Strong communication, interpersonal, and presentation skills.

• Ability to multi-task and work under pressure.

• Excellent command of English.

• Excellent verbal and written communication skills; influencing skills and ability to work effectively in a geographically dispersed team.
  

• Bachelor’s degree in computer science, Engineering, or a related field. A master's degree is a plus.

• 3+ years of professional experience in data engineering or a related role.

• Certifications in Informatica Power Center and/or Informatica Cloud (IDMC) preferred.

• 3+ years of experience as a Data Engineer or ETL Developer using Informatica Power Center.

• Develop, implement, and optimize ETL (Extract, Transform, Load) workflows using Informatica Power Center.

• Design and build scalable data pipelines to extract data from various sources, transform it according to business rules, and load it into data warehouses or data lakes.

• Collaborate with data analysts, architects, and business stakeholders to ensure data accuracy, quality, and timeliness.

Support and maintain existing Informatica Power Center mappings, workflows, and processes.

• Leverage Informatica Intelligent Data Management Cloud (IDMC) (preferred) to create cloud-based, scalable data solutions.

• Ensure high performance and availability of ETL processes by performing routine maintenance, optimization, and troubleshooting.

Monitor and manage data integration workflows in both on-premises and cloud environments.

• Document ETL processes, standards, and best practices to ensure smooth team collaboration and knowledge transfer.