• Architect, design, and manage end‑to‑end Snowflake‑based data platforms, ensuring high performance, scalability, and reliability • Lead data modelling initiatives (dimensional, normalised, and hybrid models) to support complex analytical and financial reporting needs • Design and implement ETL/ELT pipelines, including orchestration, data ingestion, and real‑time or near‑real‑time streaming integrations • Collaborate with stakeholders to analyse data requirements, translating business needs into effective data architecture designs. • Ensure best practices in Snowflake implementation, including performance optimisation, security, access control, and storage management. • Develop advanced SQL and Python scripts for data transformation, automation, and validation • Integrate DevOps practices such as CI/CD and infrastructure‑as‑code into the data engineering lifecycle • Provide architectural leadership and mentoring to data engineers, fostering high standards for delivery, documentation, and collaboration • Support proofs of concept (POCs) and contribute to technical evaluations of tools and technologies

Role Description The Part-Time Instructor for Excel & SQL for Data Analysis plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs. Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world business and analytics applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment. Classes are delivered 100% online in a synchronous format. Key Responsibilities - Deliver live online training sessions covering Excel and SQL concepts. - Cover core topics including: - Excel: - Data handling and formatting - Functions and formulas (lookup, logical, statistical, etc.) - Pivot Tables and Pivot Charts - Data cleaning and validation - Dashboard creation and reporting - Practical business reporting workflows - SQL: - Database fundamentals - Writing queries (SELECT, JOIN, GROUP BY, etc.) - Data filtering and aggregation - Subqueries and views - Query optimization basics - Practical business use cases and case studies - Conduct hands-on exercises and guide learners through project work. - Provide hands-on support for assignments, labs, and activities. - Mentor learners and resolve technical or conceptual queries. - Evaluate assignments, assessments, or mock sessions when required. - Ensure timely completion of curriculum and learning milestones. - Maintain session quality metrics and learner engagement. - Collaborate with internal teams on curriculum updates, learner feedback, and delivery planning. Qualifications - Bachelor’s degree in IT, Computer Science, Data Analytics, or related field - Strong hands-on experience with Advanced Excel and SQL - Industry experience in data analysis, reporting, or business intelligence roles - Prior experience delivering online or classroom training sessions preferred - Excellent communication, facilitation, and presentation skills - Ability to explain analytical concepts clearly to learners with varied backgrounds Preferred Skills - Experience with Power BI, Tableau, or other BI/visualization tools - Knowledge of Python or data analytics workflows - Relevant certifications in Excel, SQL, analytics, or business intelligence - Experience creating dashboards and business reports - Familiarity with real-world data analysis use cases Key Competencies - Strong instructional and facilitation skills - Ability to simplify technical concepts clearly - Professional virtual presence and delivery - Reliability and schedule discipline - Strong learner engagement and mentoring mindset - Problem-solving and analytical thinking skills Student Support & Mentorship - Provide individualized student support during live sessions and scheduled office hours. - Maintain regular communication with students regarding progress, expectations, and milestones. - Respond to student and staff communications in a timely and professional manner. - Provide clear, constructive, and timely feedback on assignments and assessments. Performance Monitoring - Evaluate student progress based on course deliverables and established grading rubrics. - Maintain accurate documentation of student performance and engagement. - Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff. - Support performance improvement plans when necessary. Collaboration & Professional Conduct - Adhere to institutional policies and instructional team standards. - Foster an inclusive, respectful, and professional learning environment. - Serve as a role model and mentor for students. - Collaborate with instructional staff and program teams to improve the student learning experience. - Represent the organization professionally when interacting with students, staff, and external stakeholders. Work Schedule - Part-Time instructors typically work 10–15 hours per week depending on cohort schedules. - The total weekly part-time commitment is expected to be 8–12 hours. - Weekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday) - Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday) - Flexibility for evening availability is required. Compensation - The anticipated pay range for this position is $55 – $60 per hour, depending on qualifications and experience. - This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws. Equal Employment Opportunity We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

Title: SAP Data Migration Engineer (LTMC / SLT / LVM) Location: Remote 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? For immediate consideration, please send your resume to hilda@bvteck.com or contact us at (908) 698-4899. 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 You will join a senior technical team working on large-scale, data-intensive platforms in a regulated financial environment. The project focuses on backend development using OOP technologies, strong interaction with Data Lake ecosystems, and complex SQL-based data processing, within a modern microservices and DevOps-oriented architecture. - Design, develop and maintain backend components using Java and OOP principles - Build and optimize SQL queries over large datasets (Oracle / PostgreSQL) - Work with Data Lake environments and data integration flows - Contribute to microservices architectures (Spring Boot) - Collaborate in CI/CD pipelines using Git, GitHub Actions and Kubernetes - Participate in Agile ceremonies and technical decision-making - Interact with functional teams in Transactional Regulatory Reporting contexts Qualifications - Senior experience in Object-Oriented Programming (Java – Expert level) - Advanced JavaScript - Strong SQL skills with Oracle (PL/SQL) and PostgreSQL - Solid experience with Git and GitHub (Advanced) - Hands-on experience with Kubernetes - Proven background in enterprise-scale backend systems Requirements - Nice to have: Angular & TypeScript (intermediate level) - Experience with Amazon S3 and Elastic - Microservices with Spring Boot on OpenShift - Messaging systems such as Kafka - DevOps culture and tooling - Agile environments (Jira, Confluence) - Business exposure to Transactional Regulatory Reporting Benefits - Remote position based in Malaga - Possibility to manage work permits - Permanent, full-time contract - Smart Office Pack so that you can work comfortably from home - Training and career development - Benefits and perks such as private medical insurance, life insurance, language lessons, etc. - Possibility to be part of a multicultural team and work on international projects