Role Description This is a remote position. Design and implement end-to-end data pipeline using Azure-native services and Databricks. This role focuses on: - Building scalable, high-performance data platforms - Defining robust data frameworks - Partnering with stakeholders to translate business requirements into reliable data solutions - Implement data governance principles using Unity Catalog - Create and implement data ingestion patterns and data integration patterns in medallion architecture - Apply best practices in data engineering - Create PySpark notebooks - Create procedures for advanced data transformation - Handle performance tuning aspects in Databricks and Azure SQL DBs Qualifications - Hands-on experience with Azure Databricks - Hands-on expertise in data ingestion, transformation, and orchestration frameworks - Hands-on experience in building Insurance specific data models - Proven ability to optimize data pipelines for performance, scalability, and cost efficiency - Solid understanding of distributed data processing concepts Requirements - Hands-on experience with PySpark for large-scale data processing - Experience defining and enforcing best practices for Databricks workloads and Spark-based pipelines - Strong analytical and problem-solving skills - Excellent communication skills to effectively work with cross-functional stakeholders - Prior experience in working in Insurance P&C cloud-based data & analytics projects Benefits - Diversity Inclusion: Exavalu promotes flexibility, adapting to the needs of employees, customers, and the business - Part-time work, working outside normal 9-5 business hours, or working remotely - Welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons - Commitment to building a diverse and inclusive workforce - Welcoming applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity, or any other status protected by applicable law - Nurturing a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career

Role Description We are looking for a Server Virtualization Engineer/Server Admin Migration Engineer with strong Windows infrastructure experience to support infrastructure and file server migration activities within an IT M&A environment. While the role requires solid expertise in virtualized server environments, it also involves hands-on execution of data and file migrations from start to finish. Key Responsibilities - Administer and support VMware-based virtualized environments across production and non-production systems. - Execute infrastructure and file server migrations, including discovery, planning, migration, validation, and post-migration support. - Perform data migrations using tools such as Robocopy, RClone, and PowerShell scripts. - Manage Windows file servers, including NTFS permissions and Windows shares. - Support Active Directory and Azure AD / Entra ID activities related to access and migrations. - Collaborate with networking, security, cloud, and third-party teams to enable migration readiness. - Create and maintain technical documentation and provide status updates to stakeholders. - Participate in technical meetings and communicate effectively with technical and non-technical teams. Qualifications - Strong English B2 skills. - Strong experience in VMware and Windows Server administration. - Experience with on-premise datacenter environments. - Hands-on exposure to file and data migrations. - Knowledge of Active Directory, NTFS permissions, and Windows shares. - Experience with PowerShell scripting and automation. - Basic understanding of networking and VPN concepts. - Ability to work independently and manage tasks end-to-end. Company Description Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

• Design and maintain end-to-end data orchestration using Azure Data Factory (ADF) and Databricks Workflows • Build and optimize modular transformation layers using dbt (data build tool) • Ensure documentation is accurate and complete • Implement and manage Data Quality (DQ) processes within dbt to ensure reliable and trusted data • Troubleshoot complex data issues and performance bottlenecks • Work closely with stakeholders to translate business requirements into technical data models

Role Description The Data Engineer plays a critical role in managing and processing data to support our organization's analytical and operational needs. This position involves working with data pipelines, databases, and architectures to ensure data quality and accessibility. - Analyze raw data from various sources. - Develop and maintain datasets, schemas and models. - Improve data quality and efficiency. - Document data flows and mappings. - Collaborate with data analysts, scientists and other stakeholders. - Perform related duties as assigned, within your scope of practice – management reserves the right to revise these duties as necessary. - Develop internal/external reports for information that is coming from ORR. - Assist with buildout of data dictionary through SharePoint. - Analyze data sets to ensure alignment to the overall organizational focus. - Advise on updated reporting to capture data through mapping and format it into a usable format which can be easily interpreted by other departments. - Bring innovation and creativity to legacy technologies and programs to drive/shift changes. - Duties are performed via a government approved computer system. Employees are required to possess strong computer skills in MS Word and Excel. Qualifications - Bachelor’s degree in computer science, engineering, or related field. - Preferred programming languages include SQL, Python, R, Tableau, and PowerBI. - Preferred platforms include Microsoft Power Platform, Dataverse (CDS), and Power Automate. - Experience in data engineering, development or analysis. - Knowledge of data structures, algorithms and programming languages. - Proficiency in database systems, tools and frameworks. - Data visualization, communication and presentation skills. - Must possess strong computer skills in MS Office, including Excel, Word, PowerPoint, Outlook, and Teams. - Ability to type 55 wpm. Requirements - Complete a rigorous culture and competency testing process. - Complete a Drug Test. - Must be at least 21 years of age. - A valid U.S. Driver’s license. - Have the ability to obtain a Public Trust Clearance. - Applicants selected will be subject to a government background investigation and may need to meet eligibility requirements for access to classified information. - Internal background check to the satisfaction of contract requirements. - Child Abuse/Neglect Report (CAN) or child protective services check with no adverse findings. - Must be a U.S. Citizen. - U.S. Residency requirement - 3 cumulative years in the last 5 years. Physical Demands - Must have mobility to attend meetings with other managers and employees. - Climbing/Stooping/Kneeling: 10% of the time. - Lifting/Pulling/Pushing: 10% of the time. - Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time. - Sitting: Sitting for prolonged and extended periods of time.