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The Lead Data Architect will develop target data models aligned with business priorities, implement data strategy, promote semantic technologies, and ensure data governance.

The Recruiting Coordinator will play a key role in supporting the Talent Acquisition team by coordinating various aspects of the recruitment process. Responsibilities include interview coordination, candidate communication, ATS management, job posting, pre-employment screening, new hire onboarding support, collaboration, process improvement, and administrative support.

Join Infinitive as a Technology Consultant, focusing on AWS and Databricks. Develop cutting-edge solutions and grow skills in data analysis, engineering, and analytics. Requires technical degree and strong analytical skills.

Seeking a skilled Data Engineer with expertise in Logstash and Databricks to manage and optimize clients' data pipelines for efficiency and reliability. Collaborate with data scientists and analysts, troubleshoot issues, ensure data security and compliance, and stay updated on data engineering best practices.

Seeking a Senior Data Engineer with extensive experience in Databricks on AWS or Azure to design, build, and maintain scalable data architectures, ensure data integrity, and optimize data flow and collection. Responsibilities include developing ETL processes, ensuring data quality and security, and leading data governance implementation. Required skills include proficiency in Databricks, AWS services, Unity Catalog, SQL, and big data technologies, along with strong communication and problem-solving skills.

Seeking an experienced IT GRC (Governance, Risk, and Compliance) Manager to assist clients in managing and mitigating IT-related risks.

Seeking a highly skilled and motivated Data Engineer to design, develop, and maintain data infrastructure using Python, PySpark, ETL processes, and CI/CD. Responsible for data architecture, ETL development, Python and PySpark development, data integration, and streaming/batch workflows. Required qualifications include a degree in Computer Science or a related field, proven experience as a Data Engineer, strong programming skills in Python and expertise in PySpark, and familiarity with ETL tools and processes.