Role Description Responsible for building scale-able data pipelines (batch & real-time) using Big Data technologies such as Apache Spark in Azure Cloud to deliver data as a product to support Revenue Cycle Management business needs. - Design, build, implement and support data pipelines in Azure to deliver data as a product. - Understand Revenue Cycle Management business requirements to implement business rules in data pipelines to support the needs. - Contribute to data platform tools to improve automation and efficiency of the pipelines to improve business Service Level Agreements (SLAs). - Work with the stakeholders to improve data quality in the data pipeline life cycle's data ingestion and curation stages. - Build platform components around data consumption for the entire organization. - Ensure data is delivered to all our clients on time and with the right level of quality. Qualifications - Degree in Computer Science or related field. Requirements - 5-8 years of experience. - Proficient in core database concepts including MSSQL Server and Azure Cloud databases . - Proficient in understanding and writing effective and optimized T-SQL queries and stored procedures for MS SQL Server databases. - Strong knowledge of troubleshooting, debugging and building data pipelines that perform Extract, Transform and Load operations. - Knowledge of data quality concepts. - Knowledge of writing Spark SQL queries. - Knowledge of MS Excel. - Good knowledge of SDLC practices and experience in working in an Agile environment. - Knowledge of Programming (such as Python) and logical thinking. - Knowledge of working with source control systems such as Git. - Problem-solving skills / effective communication skills / being a strong team player. Benefits - Best in class work from home policy. - Growth-oriented work culture. - High-quality learning and development opportunities. - Supportive work culture. - Positive work-life balance. - Flexible/ remote working. - Employee-friendly policies. - Take your career to the next stage of evolution and mutual growth.

Title: Data Specialist Location: Tulsa, Oklahoma, United States Job Description: At Northmarq, you can be part of something special. Northmarq is a unique capital markets resource for commercial real estate investors, providing our clients access to experts in debt, equity, investment sales, loan servicing, and fund management. We offer you a career path with best-in-class training, and we foster inclusive teams committed to collaboration, mentoring, and growth. At Northmarq, we will help you unlock your potential – whether you are an industry veteran or you’re just getting started. Your new career is waiting. Start something special today. Northmarq was voted by Real Estate Forum as one of The Best Places to Work in Commercial Real Estate! Northmarq is seeking a Data Specialist at its Tulsa, OK office. The individual will be responsible for accurately researching, interpreting, and entering commercial real estate sale transactions and related information into the company's proprietary database. This role emphasizes maintaining data quality and supporting users through the helpdesk, contributing to the overall growth, accuracy, and quality of Salesforce data. Effective communication and teamwork are essential, as the specialist will collaborate with both team members and technical teams to implement data requirements. *This role supports a flexible schedule that prioritizes in‑office teamwork, with flexibility for remote work when appropriate. Specific Responsibilities: - Data Entry and Interpretation - Accurately and thoroughly research commercial real estate sale transactions, on-market sale listings, and contact information for related properties, tenants and companies in a timely manner. - Correctly interpret and translate information obtained from lease abstracts, marketing brochures, sales comparable reports, press releases, etc. - Enter and update research findings into company’s proprietary database, with an emphasis on consistent and professional formatting. Ensure project queues are maintained properly, including data entry on newly listed on-market comps, updating existing and ongoing comps, and verifying termination information. Correct all errors identified during the audit process in a timely manner. - Data Management and Data Quality - Support users through the helpdesk – Manual data updates through an active work queue (email status updates, record merging). - Support data management to improve Salesforce data growth, accuracy, and quality. - Perform ad hoc data cleansing projects. - Teamwork - Includes providing back-up coverage for other members, participating in team meetings, communicating regularly with the team and manager, and sharing, cross-referencing, and auditing department-related work as needed. - Ability to work and communicate with technical teams to implement requirements in Salesforce. - Communication - Professionally communicate with users, providing them with feedback regarding data standards and minimum requirements. - Produce documentation for user support. What we're looking for: - Bachelor’s Degree preferred, or equivalent combination of education, training, and work experience - Previous experience in the commercial real estate industry preferred, but not required. - Data entry experience - Proficiency in Microsoft Office Suite - Beginner to intermediate proficiency in Excel - Ability to navigate the internet for research and information gathering; internet research proficiency - Strong independent research skills and resourcefulness. - Ability to interpret data accurately and thoroughly. - Excellent written and verbal communication skills; able to articulate ideas clearly and effectively. - Detail-oriented with the ability to learn new concepts and technologies quickly. - Strong multitasking skills; able to meet tight deadlines while staying organized. - Demonstrated ability to provide exceptional service and maintain a client-focused approach. Northmarq offers a highly competitive benefits package including: medical, dental, vision, paid time off, 401K match and an annual discretionary contribution based on business performance, paid parental leave and adoption assistance, education assistance, volunteer paid time off, charitable contribution match and so much more!

• Desenvolver, orquestrar e monitorar pipelines de dados utilizando Azure Data Factory (ADF) • Atuar na ingestão, transformação e disponibilização de dados em ambientes de Data Lake • Trabalhar com grandes volumes de dados utilizando Azure Synapse Analytics • Desenvolver e otimizar processos de transformação de dados com Databricks (PySpark/SQL) • Estruturar e manter camadas de dados (raw, trusted, refined) garantindo qualidade e governança • Integrar diferentes fontes de dados (APIs, bancos relacionais, arquivos, etc.) • Garantir performance, escalabilidade e boas práticas na construção das soluções • Apoiar na definição e evolução da arquitetura de dados (Data Lake / Lakehouse)

• Gather and interpret data from various sources to identify relevant information and insights • Analyze data sets to identify patterns and trends, enabling informed decision-making and forecasting • Derive actionable insights and forecasts from data analysis, supporting business objectives and strategies • Assess data quality and implement remediation measures to ensure accuracy and reliability • Map data from different sources to facilitate integration and compatibility • Create comprehensive reports and visualize data using reporting tools to effectively communicate findings and insights • Build and maintain data pipelines to streamline the flow of information and automate processes • Identify opportunities for process enhancements and contribute to their implementation to improve efficiency and effectiveness.