Role Description We are seeking a detail-oriented Google Sheets and Microsoft Excel expert to manually migrate and rebuild over 1,000 Google Sheets files into Excel while maintaining formulas, formatting, structure, and functionality. The ideal candidate will have advanced spreadsheet expertise, strong analytical skills, and experience working with complex formulas and large data sets. - Manually migrate Google Sheets documents to Microsoft Excel format. - Rebuild and validate complex formulas, functions, and spreadsheet logic in Excel. - Ensure data integrity, formatting consistency, and workbook functionality throughout the migration process. - Identify and resolve compatibility issues between Google Sheets and Excel. - Organize and manage large volumes of spreadsheet files efficiently. - Perform quality assurance testing to ensure accuracy after migration. - Collaborate with internal stakeholders to clarify spreadsheet structures and business logic when required. - Maintain confidentiality and security of company data. Qualifications - Advanced expertise in Google Sheets and Microsoft Excel. - Strong knowledge of: - Complex formulas and functions - Pivot tables - Lookup functions (VLOOKUP, XLOOKUP, INDEX/MATCH) - Conditional formatting - Data validation - Spreadsheet troubleshooting - Experience migrating spreadsheets between platforms. - Strong attention to detail and accuracy. - Ability to manage high-volume repetitive tasks efficiently. - Strong organizational and time management skills. - Experience working with large datasets is considered an asset. - Experience with macros, VBA, or spreadsheet automation. - Familiarity with Google Apps Script. - Data cleanup and normalization experience. - Previous migration or data conversion project experience. Company Description At MSP Corp, we don’t just build our own teams — we help our clients build theirs. As a national leader in managed IT services, we partner with exceptional companies to find the right talent to power their growth.

Role Description The Data Engineer will be part of the Research & Development team, responsible for designing, building and maintaining internal systems used by management, coaches, scouts, analysts and all other Hockey Operations staff. The primary focus of the role will be back-end development but front-end development skills and systems management experience is preferred. This position is available for in-person or remote work (with occasional travel). - Develop, document, and maintain the schemas and ETL pipelines for all hockey operations databases - Maintain web interfaces for hockey operations use, in conjunction with department personnel - Work with other members of the R&D team to address and support all existing data-related requests from across hockey operations - Create, summarize, and deliver statistical reports to stakeholders across hockey operations - Optimize data collection, storage, manipulation and transformation tasks - Maintain a system for unit-testing and monitoring all hockey operations databases, data products and associated raw data feeds - Collaborate with a team of data scientists, data engineers, and other department personnel - Communicate effectively and directly with hockey operations staff - Perform all job duties in a variety of work settings including virtual meetings and distributed work environments, at in-person meetings, via phone/email, and in other settings - Document all data pipelines, code, processes, workflows, etc. - Perform ad-hoc and time-sensitive tasks upon request - Maintain the upmost confidentiality - Perform other related duties as assigned Qualifications - Bachelor’s degree (or equivalent experience) in software engineering, computer engineering, computer science, information technology, information systems or a related field - Demonstrated experience reading, writing and documenting code in Python. Experience working with common Python libraries (ex. numpy, pandas, etc.) and building or working with custom Python packages is preferred. - Ability to write ad hoc SQL queries to support data analysis - Ability to work with Git for version control, and experience working collaboratively on shared coding projects - Some front-end development experience with HTML, CSS, and/or JavaScript - Some web development experience. Experience with Python Django preferred - Ability to work a flexible schedule (including nights, weekends and holidays when necessary) and to occasionally travel Requirements - Experience with R and/or Python for data analysis (preferred but not required) - Experience working with pipeline management tools (ex. Airflow) (preferred but not required) - Experience working with containers for application deployment (ex. Docker) (preferred but not required) - Experience working with distributed storage and computer infrastructures (ex. HDFS, Spark, Yarn) (preferred but not required) - Experience reading and writing with relational database systems (ex. Postgres) (preferred but not required) Critical Competencies - Strong attention to detail and highly organized - Ability to manage multiple projects at once - Excellent written and verbal communication skills - Flexibility to adapt to changing priorities - Collaborative and creative - Strong problem-solving skills Compensation This role will pay between $62,500 - $75,000 annually. Note: Wages will be determined based on factors such as candidate experience, qualifications, skill set and internal equity. Benefits - Medical Plans: Comprehensive and affordable medical plans; supplemental vision care, dental care, life insurance coverage, fully paid, short and long-term disability and life insurance coverage. - Investments: 401(k) with employer matching; annual discretionary defined employer contributions - Paid Time Off: Paid Volunteer Days - Sabres Experience: (up to 4) Comp tickets to Buffalo Sabres, Buffalo Bandits, Rochester Americans when available - Wellness: Annual Health & Wellness fair, monthly wellness initiatives including but not limited to lunch & learns, fitness classes and challenges. - Sabres Family: many annual social events for employees and their families to enjoy, including various holiday parties and activities. DEI committee with annual initiatives, ERG (Employee Resource Groups), Community Volunteer opportunities and more.

• Build infrastructure and data automation pipelines to ingest, process, and load data from various sources • Automate and integrate new components into the data pipeline • Collaborate with stakeholders and data science teams to develop data products, including entity resolution and best selection, to efficiently execute product vision and strategy in alignment with organizational goals and priorities • Create unit and stress-test components to monitor technical performance and ensure that identified issues are resolved • Develop data analysis tools to provide data insights and capture key metrics • Research solutions and maintain technical documentation • Follow best practices for data governance, quality, cleansing, and other ETL-related activities

Role Description The Corporate Workspace Technology area is currently hiring for the role of Senior Data Engineer for the modernization of tooling enablement function. As a Senior Data Engineer, you will be responsible for design, modeling, development and management of data warehouse objects in Snowflake data store utilizing effective data pipelines such as Talend, Informatica and APIs. - Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing. - Migrate existing data domains/flows from relational data store to cloud data store (Snowflake). - Identify and optimize new/existing data workflows. - Identify and implement data integrity practices. - Integrate data governance and data science tools with Snowflake ecosystem as per practice. - Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store. - Collaborate with team members to design and implement effective data workflows and transformations. - Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs. - Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem. - Participate in code reviews and provide constructive feedback to improve team deliverables quality. - Design and develop data ingestion pipeline using Talend/Informatica using industry best practices. - Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule. - Design, implement data distribution layer using Snowflake REST API. Qualifications - Self-driven, dedicated individual who works well in a team and thinks and acts strategically. Requirements - Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required. Benefits - Competitive compensation. - Professional development opportunities. - Flexible work arrangements.