<p>We are looking for an experienced Informatica and AWS Data Engineer to join our team in Southern California. In this long-term, multi-year position, you will play a pivotal role in configuring and managing Informatica Cloud Catalog, Governance, and Marketplace systems, ensuring seamless integration with various platforms and tools. This opportunity is ideal for professionals with a strong background in data governance, security, and compliance, as well as expertise in cloud technologies and database systems.</p><p><br></p><p>Responsibilities:</p><p>• Configure and implement role-based and policy-based access controls within Informatica Cloud Catalog and Governance systems.</p><p>• Develop and set up connections for diverse platforms, including mainframe databases, cloud services, S3, Athena, and Redshift.</p><p>• Troubleshoot and resolve issues encountered during connection creation and data profiling.</p><p>• Optimize performance by identifying and addressing bottlenecks in profiling workflows.</p><p>• Configure and manage Cloud Marketplace integrations to enforce policy-based data protections.</p><p>• Review and communicate Informatica upgrade schedules, exploring new features and coordinating timelines with business and technical teams.</p><p>• Collaborate with infrastructure teams to establish clusters for managing profiling workloads efficiently.</p><p>• Support governance initiatives by classifying and safeguarding sensitive financial and customer data.</p><p>• Create and manage metadata, glossaries, and data quality rules across regions to ensure compliance with governance policies.</p><p>• Set up user groups, certificates, and IP whitelisting to maintain secure access and operations.</p>
<p>We are looking for a skilled Sr. Mainframe Systems SME to join our team in Southern California. In this long-term contract position, you will play a pivotal role in analyzing business requirements and driving the successful completion of various technical projects. The role requires onsite work four days/week.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with project managers and team leads to define and execute units of work, ranging from small enhancements to large-scale projects.</p><p>• Analyze business requirements and transform them into functional and detailed designs, ensuring alignment with project goals.</p><p>• Develop architectural solutions that meet application requirements while adhering to technology standards.</p><p>• Lead and conduct testing phases, including unit testing, integration testing, system testing, and user acceptance testing.</p><p>• Document processes, designs, and implementations to ensure clarity and accuracy throughout the project lifecycle.</p><p>• Provide regular status updates to project managers and team leads, ensuring transparency in project progress.</p><p>• Assist in the implementation and warranty phases of projects, ensuring smooth transitions and operational readiness.</p><p>• Collaborate across multiple disciplines to align technology strategies, standards, and roadmaps.</p><p>• Apply knowledge of Waterfall and Agile methodologies to optimize project workflows and outcomes.</p>
<p>**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193****</p><p><br></p><p>We are looking for a Senior Teamcenter Software Engineer to join our team in Costa Mesa, California. In this long-term contract role, you will collaborate with cross-functional teams to optimize and expand Teamcenter solutions across various business operations. If you have a strong technical background, hands-on experience with Teamcenter, and a passion for problem-solving, we encourage you to apply.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with product managers, engineering, manufacturing, and document control teams to implement and enhance Teamcenter solutions.</p><p>• Analyze business processes and recommend effective solutions using best practices within the Teamcenter environment.</p><p>• Develop and manage integrations between Teamcenter and related applications to ensure seamless data flow.</p><p>• Provide day-to-day support to cross-functional teams, addressing operational needs and driving change management initiatives.</p><p>• Troubleshoot technical issues related to Teamcenter deployment, configuration, and server/client operations.</p><p>• Customize Teamcenter workflows and dispatchers to meet specific business requirements.</p><p>• Assist in the improvement of system performance, including database management and server optimization.</p><p>• Ensure integration methodologies align with upstream and downstream application requirements.</p><p>• Conduct technical assessments to address business challenges and translate them into actionable solutions.</p>
<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>
