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Design, develop, and implement Workato integration solutions for cloud and on-premise systems. Build and monitor automated workflows, troubleshoot integration issues, and ensure reliability through testing and debugging. Document processes, create reusable frameworks, stay current with Workato updates, and mentor team members. The role requires strong Workato expertise, integration design experience, API knowledge, data transformation skills, and familiarity with SQL and databases.

Designs, develops, tests, deploys, and publishes APIs using the Apigee platform across cloud, on-premises, SaaS, and hybrid environments. Responsibilities include API strategy, architecture, security policies, proxy configuration, CI/CD automation, performance testing, platform scalability, technical reviews, client discussions, stakeholder communication, and team guidance. The role also supports API testing automation, solution proposals, platform selection, and collaboration with business analysts.

Collaborate with stakeholders to establish data governance policies, frameworks, KPIs, and dashboards. Monitor data quality, profiling, metrics, and issue resolution across systems. Maintain data lineage, metadata, and master data management practices while ensuring GDPR and HIPAA compliance. Partner with business and IT teams to promote data stewardship and governance best practices.

Implement and deploy Reltio MDM solutions for clients, including data modeling, match tuning, integrations, survivorship, data loads, and data quality. Participate in requirements and design workshops, testing, documentation, and training. Collaborate with stakeholders, support system and user acceptance testing, mentor junior team members, and provide technical guidance throughout full lifecycle implementations.

This role involves developing software solutions, designing architecture, building applications, managing databases, writing APIs, and collaborating with teams to enhance software performance.

Seeking a Senior Full Stack Developer to lead client engagements, architect and develop .NET web applications, mentor teams, and drive best practices in cloud and DevOps environments.

Looking for a Data Engineer lead to design and build scalable solutions, develop data pipelines, and support analytics and ML initiatives, while collaborating with cross-functional teams for quality data management.

Lead accounting and finance for a US-based, global technology consulting firm. Own month-end and year-end close, prepare US GAAP financial statements, manage AR/AP, payroll, treasury, multi-entity accounting, audits, compliance, internal controls, ERP implementations, automation, budgeting, forecasting, and partner with leadership to support strategic decision-making.

The AI Engineer will design and implement GenAI solutions, develop LLM applications, optimize RAG pipelines, and research machine learning algorithms for complex business problems.

The Analyst/Consultant - Data Engineer will design and implement data pipelines using Azure tools, manage databases, and ensure data governance and security. They will work closely with the BI team to provide optimized data for analysis.