Title: SAP Data Migration Engineer (LTMC / SLT / LVM) Location: Remote Job Description: Full Time Experienced Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled SAP Data Migration Engineer (LTMC / SLT / LVM) to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: SAP Data Migration Engineer (LTMC / SLT / LVM) Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary: $100K - $150K Experience: 5+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. Job Summary We are seeking an experienced SAP Data Migration Engineer to design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role focuses on the full data migration lifecycle — extraction, transformation, validation, reconciliation, and cutover — to ensure accurate, complete, and compliant migration of enterprise data from legacy systems into SAP. The ideal candidate will combine strong hands-on experience with SAP LTMC, SLT, LVM, and S/4HANA migration tools with deep understanding of SAP data structures, business processes, and data governance, and will partner closely with functional teams, business owners, and infrastructure stakeholders during all phases of migration. Key Responsibilities - Design and execute SAP data migration strategies for S/4HANA implementations, including conversion and greenfield scenarios. - Perform data extraction from legacy systems using SAP-provided and custom tools and prepare data for ingestion into SAP. - Configure and utilize SAP LTMC (Legacy Transfer Migration Cockpit), including custom migration objects where required. - Implement real-time replication scenarios using SAP SLT (System Landscape Transformation), including transformation rules and filter conditions. - Manage logical system setups and replication configurations for hybrid SAP environments. - Support system refreshes and landscape virtualization activities using SAP LVM (Landscape Virtualization Management). - Design and execute data transformation, cleansing, and enrichment processes prior to migration. - Develop comprehensive validation and reconciliation reports to ensure data accuracy and completeness. - Identify and resolve data inconsistencies, duplicates, and orphan records prior to go-live. - Support mock migrations, dress rehearsals, and the final cutover, including detailed runbook execution and rollback planning. - Optimize performance for large-volume data loads, including parallelization, package sizing, and database tuning. - Collaborate with functional teams to validate master and transactional data against business expectations. - Ensure compliance with enterprise data governance, audit, and privacy standards. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. Required Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of SAP data migration experience. - Strong hands-on experience with SAP LTMC and S/4HANA migration tools. - Experience with SAP SLT replication scenarios. - Working knowledge of SAP LVM for system refresh and landscape management. - Strong understanding of SAP master and transactional data structures. - Experience performing data validation and reconciliation processes. - Strong SQL and data analysis skills. - Experience working in enterprise SAP landscapes during major implementations. - Strong troubleshooting and documentation skills. Preferred Qualifications - Experience participating in S/4HANA greenfield or brownfield implementations. - Exposure to SAP Data Services or other ETL platforms. - Experience with high-volume, multi-source data migrations. - Working knowledge of SAP HANA database structures. - SAP S/4HANA certification. How to Apply Would you like to know more about this opportunity? Learn more about Bright Vision Technologies at www.bvteck.com. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans. Position offered by “No Fee Agency.” Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Role Description We are looking for a Middle Data Engineer specialized in Azure Databricks to join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence. - Design, develop, and maintain data pipelines using Azure Databricks - Build and optimize data transformations using PySpark and SQL in Databricks - Implement and maintain Lakehouse architectures using Delta Lake - Develop ETL/ELT pipelines orchestrated through Azure Data Factory - Integrate data from multiple sources into the data platform and analytical layers - Design and maintain data models and data warehouse structures for analytics - Ensure data quality, scalability, and performance of large-scale data processing pipelines - Collaborate with BI teams to support Power BI and reporting platforms - Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required - Contribute to the design of modern cloud-based data architectures Qualifications - 3+ years of experience in Data Engineering or Data Warehouse development - Strong experience with Azure Databricks - Experience developing data pipelines using PySpark and Spark SQL - Solid understanding of distributed data processing and big data concepts - Experience working with Delta Lake and Lakehouse architectures - Strong SQL skills and experience with SQL Server relational databases - Experience building data pipelines using Azure Data Factory - Experience handling large datasets and performance optimization Requirements - Experience with Spark optimization techniques (partitioning, caching, cluster tuning) - Experience with structured streaming in Databricks - Knowledge of CI/CD pipelines for data platforms (Azure Devops) - Familiarity with Power BI - Experience in migrating from traditional ETL process to cloud architectures Benefits - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

IMEO Data Engineer Location: Paris Job Opening ID: 278117 Job Network : - Job Family : Engineering Category and Level : Consultants, CON Duty Station : PARIS Department/Office : United Nations Environment Programme Job Description: Result of Service The IMEO Data Engineer consultant will integrate satellite data into the main data system and develop tools to facilitate the analysis and management of geospatial data. Work Location Remote Expected duration 12 months Duties and Responsibilities The United Nations Environment Programme (UNEP) is the leading global environmental authority that sets the global environmental agenda, promotes the coherent implementation of the environmental dimension of sustainable development within the United Nations system, and serves as an authoritative advocate for the global environment. The UN Environment Programme's International Methane Emissions Observatory (IMEO) is a data-driven, action-focused initiative that drives deep reductions in methane emissions- the second biggest contributor to global climate change and a key opportunity to reduce warming in the near-term. IMEO's mission is to provide the open, reliable, and actionable methane data needed to cut emissions at the speed and scale necessary to achieve the Paris Agreement goals. To do this, IMEO is harnessing a methane data revolution under way thanks to rapidly advancing technology and momentum for methane action. IMEO collects, integrates, and reconciles data from methane-detecting satellites, scientific measurement studies, rigorous industry reporting through the Oil and Gas Methane Partnership 2.0 (OGMP 2.0), and national emissions inventories. These initiatives are game-changers for climate action - and as a core implementing partner of the Global Methane Pledge, IMEO is shaping the future of methane mitigation. The IMEO Data Engineer will support IMEO in implementing the Methane Alert and Response System (MARS), which connects near-real-time satellite methane detections with notifications to stakeholders. The consultant will focus on integrating new satellite data sources, including NNSFC, CarbonMapper, and GOSAT-GW into MARS. This includes making necessary adjustments to the database schema to ensure smooth data ingestion, processing, and storage. The consultant will also develop tools for automated notification report generation based on validated satellite detections. In addition, he will assist with the re-training and deployment of AI models to improve methane emissions detection, ensuring the models are integrated with the MARS system and optimized for current data workflows. While the primary focus will be on data integration and AI model improvements, the consultant will also provide backend support for the PlumeViewer and IMEO Data Portal applications. This includes ensuring accurate data is displayed on both applications and keeping timely updates to the IMEO Data Portal updated. The consultant will report to MARS Programme Manager. Qualifications/special skills Masters or Equivalent in computer science, data engineering, remote sensing or related field. Or a related field (optional) • Minimum of 3 years of proven experience in the development of data processing, analysis, and visualization tools, preferably focused on high-resolution satellite remote sensing data • Knowledge and experience with PostgreSQL, Azure cloud, Python, and CI/CD tools such as Jenkins. • Demonstrated scientific expertise in Remote Sensing Languages Fluency in oral and written English. English is the working language of UNEP's IMEO. Knowledge of additional languages is an asset. Additional Information - MARS analysis tools: at the beginning of the contract, the consultant will be provided with a list of tasks to be implemented, including developing specific data analysis functions, creating tables and connections for the integration and interconnection of new satellite and space sensor data, and optimizing the data stream between the different tools that IMEO-MARS uses. • Export internal data: the consultant shall provide the different IMEO members not experts in satellite data or without access to the internal MARS databases with the information they need in the required formats, e.g., time series of emissions in a particular region, plume figures, location of identified emission sources, etc. Specific tasks and responsibilities: O Improve internal MARS tools for geospatial data management and analysis. O Create new functions to exploit and store satellite data efficiently O Support the ingestion of new satellite and spatial sensor data O Assist different IMEO groups that need internal MARS data O Enhance CI/CD and automate deployments for the core MARS technical stack, and improve the accuracy of annual point source estimations. O Coordinate technical data dissemination, by creating reproducible workflows for methane retrievals and maintaining MARS public data pipelines for plumes, sources and top 50 emitters. No Fee THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS' BANK ACCOUNTS.

Technical Data Migration Consultant AUS - Melbourne Hybrid Job Description: RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it. Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day. We're searching for a Melbourne-based Technical Data Migration Consultant to join our Data Services Group team, so that we can successfully deliver high-quality healthcare data migration projects for our clients. The Technical Data Migration Consultant will extract, transform, and load healthcare data while collaborating with stakeholders to ensure seamless system transitions and accurate data outcomes. How You'll Spend Your Time - Develop, test, and execute data conversions using SQL and ETL techniques to ensure seamless migration between healthcare systems - Analyse healthcare data in formats such as HL7, CDA, CSV, and SQL in order to support accurate extraction, transformation, and loading - Create and maintain complex SQL scripts to convert data from multiple source systems to target EHR platforms - Facilitate stakeholder meetings to gather requirements, provide updates, and ensure successful delivery of data migration projects - Perform quality assurance checks on data to validate integrity, identify issues, and reconcile converted datasets for accuracy What Kind of Things We're Most Interested in You Having - 3+ years' experience working with healthcare data and EHR/EMR systems - Proven success in delivering data migration or data conversion projects within healthcare environments - In-depth knowledge of SQL Server, T-SQL scripting, and data transformation processes - Ability to commute to our Melbourne office on a hybrid basis - Sincere interest in improving healthcare outcomes through data accuracy and system transformation - A knack for working collaboratively with stakeholders while managing tasks independently in a fast-paced environment By enabling flexibility in how we work and prioritising employee wellness, we empower our team to do and be their best. Key benefits include private health and group accident insurance, an Employee Assistance Program (EAP) for confidential support, and Loyalty Awards for long-service employees. RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, colour, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by law. We welcome applications from people of all backgrounds and strongly encourage Aboriginal and Torres Strait Islander peoples to apply. As part of RLDatix's commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don't hesitate to send a note to accessibility@rldatix.com. Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organisational factors are also taken into consideration.