When Alfred Fain founded a small Rhode Island tire store in 1924, at the time no one could have predicted how Teknor Apex would become an international custom compounder sought out by companies around the world. After a nearly hundred-year journey that’s carried us through acquisitions and expansion, we now have nine U.S. locations, as well as operations in Belgium, Singapore, Germany, and China. Throughout this global expansion Teknor has remained a privately held company, and today Fain’s grandson sits at the helm, maintaining the family’s tradition of fostering deep employee and customer relationships. These relationships are what allow us—together—to deliver customized compound solutions and help our customer’s create better products. “Manufacturing is a team sport, and we work together to achieve our goals.” ~Jon Fain Essential Duties and Responsibilities: This position is responsible for establishing and maintaining the item setup in the ERP System. This includes but is not limited to establishing new item codes, formulations, drawings & measurements and specifications. - Assignment of new item codes for raw materials and finished goods and maintenance of pertinent logs. - Data entry of formulations, property text, and specifications. - Solve common problems related to item add tasks - Assist ERP and IT group with data entry tasks. - Modify existing formulations as directed by the product chemists and ERP group. - Modify existing specifications as directed by the product chemists and/or formulation or D&M changes. - Work in Uncountable and workflow systems - Establishing Color links and their specifications. - Types, files and performs routine clerical activities for the functional department. - Performs additional duties and responsibilities as assigned. - Some minor travel will be required but should not exceed 5% - Maintain compliance with all company policies and procedures Education and/or Work Experience Requirements: - Associates degree or equivalent training in a business or clerical field, which can be obtained in two years preferred. High school diploma or GED, college coursework preferred - Minimum two years of clerical, data entry or related technical experience. - Work consists of moderately complex procedures and tasks where basis analytic ability is required as in the comparison of numbers, selection of appropriate guidelines and procedures, or identification of appropriate actions to follow. - Knowledge of materials product lines and applications. - Strong computer skills, effective communications skills and excellent organizational practices. Knowledge of ERP systems (M3, ComActivity, H5) - Ability to perform basic Math calculations relating to formulation entry This position is remote, but must be based in the Eastern time zone. Physical Requirements: - Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards. - Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state and local standards - Ability to perform duties under specific time requirements - Ability to adapt to changing duties and responsibilities - Must be able to talk, listen and speak clearly on telephone - Must be able to lift and carry up to 15 lbs This description is a summary of principal responsibilities and is not intended to include all duties that may be assigned. Teknor Apex is an equal opportunity employer and does not discriminate against any protected status under state or federal laws. Must be 18 years of age or older to work at Teknor Apex.

• Design, develop, and maintain data pipelines to process and transform large volumes of data efficiently. • Normalize and aggregate data across multiple cloud platforms, including AWS, Azure, and Google BigQuery. • Leverages APIs for data access and integration with internal and external systems. • Work with web and transactional data to support analytics and business intelligence initiatives. • Ensure data quality, integrity, and security across all stages of the data lifecycle. • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. • Optimize data workflows for performance and cost efficiency in cloud environments.

Job Title: Data Engineer (Offshore) Role Purpose Design, develop, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and business intelligence solutions. The role focuses on transforming raw data into structured, reliable datasets for downstream BI consumption. Key Responsibilities - Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration (or similar ETL tools). - Design and implement data mappings, transformation logic, and data workflows. - Build robust ETL/ELT processes to extract, transform, and load data into analytics/data warehouse layers. - Prepare and structure datasets optimized for reporting and dashboard consumption. - Ensure data quality, consistency, and integrity across pipelines. - Monitor and troubleshoot data pipeline failures, performance issues, and data availability challenges. - Collaborate closely with BI Developers and BA/BI Consultants to align data models with reporting requirements. - Optimize data pipelines for performance, scalability, and efficiency. - Document data flows, transformations, and technical specifications. Required Skills & Experience - 4–7+ years of experience in Data Engineering or ETL development roles. - Hands-on experience with Oracle Cloud Data Integration (OCDI) or similar ETL platforms (Informatica, Talend, Azure Data Factory, etc.). - Strong SQL skills with expertise in data transformation and optimization. - Solid understanding of data modeling concepts (star schema, snowflake schema, normalization/denormalization). - Experience building and managing ETL/ELT pipelines for analytics and BI solutions. - Familiarity with data warehousing concepts and architectures. - Strong problem-solving skills with attention to data accuracy and quality. - Ability to work in offshore delivery models and collaborate with cross-functional teams. Nice to Have - Experience in finance or banking domain - Exposure to cloud data platforms (Oracle Cloud, AWS, Azure) - Knowledge of big data technologies (e.g., Spark, Hadoop) - Experience with performance tuning and pipeline optimization Key Competencies - Analytical and structured thinking - Attention to detail and data accuracy - Collaboration and teamwork - Ownership and accountability - Adaptability in dynamic environments

Job Title: Data Engineer (Offshore) Role Purpose Design, develop, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and business intelligence solutions. The role focuses on transforming raw data into structured, reliable datasets for downstream BI consumption. Key Responsibilities - Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration (or similar ETL tools). - Design and implement data mappings, transformation logic, and data workflows. - Build robust ETL/ELT processes to extract, transform, and load data into analytics/data warehouse layers. - Prepare and structure datasets optimized for reporting and dashboard consumption. - Ensure data quality, consistency, and integrity across pipelines. - Monitor and troubleshoot data pipeline failures, performance issues, and data availability challenges. - Collaborate closely with BI Developers and BA/BI Consultants to align data models with reporting requirements. - Optimize data pipelines for performance, scalability, and efficiency. - Document data flows, transformations, and technical specifications. Required Skills & Experience - 4–7+ years of experience in Data Engineering or ETL development roles. - Hands-on experience with Oracle Cloud Data Integration (OCDI) or similar ETL platforms (Informatica, Talend, Azure Data Factory, etc.). - Strong SQL skills with expertise in data transformation and optimization. - Solid understanding of data modeling concepts (star schema, snowflake schema, normalization/denormalization). - Experience building and managing ETL/ELT pipelines for analytics and BI solutions. - Familiarity with data warehousing concepts and architectures. - Strong problem-solving skills with attention to data accuracy and quality. - Ability to work in offshore delivery models and collaborate with cross-functional teams. Nice to Have - Experience in finance or banking domain - Exposure to cloud data platforms (Oracle Cloud, AWS, Azure) - Knowledge of big data technologies (e.g., Spark, Hadoop) - Experience with performance tuning and pipeline optimization Key Competencies - Analytical and structured thinking - Attention to detail and data accuracy - Collaboration and teamwork - Ownership and accountability - Adaptability in dynamic environments