Data Integration Specialist
2 weeks ago
Data Integration Specialist
Job Overview :
At Randstad Digital, we're seeking an experienced Data Integration Specialist to join our team. The ideal candidate will have a strong background in ETL processes, SQL, and Shell scripting, with a focus on implementing and optimizing data integration workflows and integrating cloud-based applications.
Key Responsibilities :
Design and Implementation
Design, develop, and implement ETL processes using Informatica Intelligent Cloud Services (IICS).
Data Management
Create and optimize SQL queries for efficient data extraction, transformation, and loading. Develop and manage Shell scripts to automate and streamline data processes.
Integration and Troubleshooting
Work extensively with IICS to handle Cloud Data Integration (CDI) tasks, ensuring seamless data flow and accuracy. Troubleshoot and resolve data integration issues, ensuring minimal disruption and high-quality data delivery.
Collaboration and Optimization
Collaborate with cross-functional teams, including data architects, analysts, and business stakeholders, to understand data requirements and align solutions with business goals. Optimize ETL workflows for performance, scalability, and reliability.
Documentation and Knowledge Sharing
Document data integration processes, workflows, and best practices. Stay current with emerging trends and technologies in data integration and cloud.
Requirements :
Bachelor's degree in Computer Science, Information Technology, or a related field. 4 to 6 years of experience in ETL processes, SQL, and Shell scripting. Minimum of 2-3 years of hands-on experience with Informatica Intelligent Cloud Services (IICS), including Cloud Data Integration (CDI) and Cloud Application Integration (CAI). Proficiency in writing and optimizing complex SQL queries. Experience in developing Shell scripts for automation and data management. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to manage multiple tasks and prioritize effectively.
Preferred Skills :
Familiarity with additional data integration tools or cloud platforms. Understanding of data warehousing concepts and practices. Knowledge of data governance and quality assurance principles.
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