<p>We are looking for an experienced AWS/IDMC Data Engineer to join our team in Southern California. In this long-term contract position, you will play a key role in designing, developing, and optimizing data integration processes. This onsite role offers the opportunity to collaborate with cross-functional teams, ensuring seamless data workflows and high-performing systems. This role will be sitting onsite 4 days per week.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement data integration processes using Informatica Intelligent Cloud Services to meet business requirements.</p><p>• Collaborate with business analysts and data architects to design solutions for data transformation and integration.</p><p>• Create, test, and maintain application interfaces using various connectors, including Salesforce and other technologies.</p><p>• Automate and optimize data validation processes to enhance efficiency and reliability.</p><p>• Monitor and troubleshoot data workflows to ensure consistent system performance.</p><p>• Conduct evaluations of existing data landscapes and recommend architectural improvements.</p><p>• Build and optimize data pipelines into Amazon Redshift, ensuring scalability and performance.</p><p>• Utilize distributed data processing tools such as AWS Glue and Spark to manage large-scale data.</p><p>• Apply advanced data modeling techniques to streamline workflows and enhance system operations.</p><p>• Provide technical support and guidance to ensure compliance with best practices in data engineering.</p>

• Minimum of 3-5 years of experience in data engineering, with a strong focus on integration and transformation.<br>• Hands-on expertise with Informatica Intelligent Cloud Services, including Data Integration and Application Integration.<br>• Proven experience with distributed data processing tools like Spark and AWS Glue.<br>• Proficiency in building and optimizing data pipelines, particularly in Amazon Redshift.<br>• Strong understanding of data modeling concepts and performance optimization techniques.<br>• Solid knowledge of data integration methodologies and mapping processes.<br>• Excellent problem-solving skills and the ability to troubleshoot complex workflows.<br>• Effective communication and collaboration skills for working with cross-functional teams.

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