our team. The ideal candidate will have expertise in Informatica Cloud services and possess strong development skills in Cloud Application Integration (CAI) and Cloud Data Integration (CDI). Additionally, the candidate should be well-versed in infrastructure components such as secure agents and high availability setups. The role involves … lead role in problem resolution across various teams and vendors. Key Responsibilities: - Develop and maintain code in Informatica Cloud Application Integration (CAI) and Cloud Data Integration (CDI) to meet business requirements and ensure seamless data integration processes. - Demonstrate a deep understanding of Informatica Cloud infrastructure, including secure agents … high availability setups, and integration with various cloud platforms and on-premises systems. - Review disaster recovery procedures and implement enhancements to ensure data integrity and system resilience in case of unexpected outages or failures. - Enhance logging mechanisms to provide comprehensive visibility into data flows, transformations, and errors for more »
Job Title: Senior Data Engineer (SAS) Responsibilities: Rewrite existing data pipelines (SAS, Info, pearl, shell scripts) to Python and DBT transformation-based solutions. Convert SAS-based modules to Python-based pipelines. Load transformed data to Snowflake on Azure. Requirements: Strong experience with SAS programming (primary skill … . Proficiency in pearl and shell scripting (secondary skills). Expertise in Python and DBT for data transformation. Experience in converting SAS-based modules to Python-based solutions. Familiarity with Snowflake for data management. Experience with Airflow or similar technologies is a plus. Desired: Experience with DBT and more »
with our Chief Revenue Officer and Chief Technology Officer to drive the growth of our AI business. It focuses on supporting and developing the data science team through line management, enhancing the company's capabilities, supporting data scientists within squads, and fostering the growth of a high-performing … data science team. Responsibilities Bridge the gap between business requirements and complex technologies. Identify, assess, and evaluate growth opportunities within target customers and industries. Enable growth and deliver customer outcomes across the entire lifecycle, leading projects and working on complex solutions to achieve the right outcomes for customers. Provide … Act as an escalation point for customers to resolve issues. Drive engagements towards long-term, transformative goals and high-quality outcomes. Hire and develop data science capabilities, lead the community of practice, mentor data science practitioners, and support colleagues in growing their expertise in data science. Requirements more »
capturing & articulating the impacts that changes have on business & end-user multi-functional communities. These impacts will be assessed across multiple dimensions (process, system, data, behaviour) & Client the foundation for Communications & Engagement and Training mitigation activities. Significant experience of either/both ‘business as usual’ Finance roles or in … technology enabled Finance/Data transformations in complex, global, matrix organisations. 5+ years’ experience in Change Management with excellent skills in change impacts analysis and management of mitigations . Strong knowledge of Change Management best practices and ability to work successfully with various management levels. Track record of working more »
