Data Engineer
Apply NowCompany: Tokai Carbon GE LLC
Location: Charlotte, NC 28269
Description:
Tokai Carbon helps build America every day and we are proud of it. Tokai Carbon is one of the largest and most highly recognized graphite electrode manufacturers in the world. In order to continue to help build America, we need YOU. So, what's in it for you? We know that our employees are our greatest asset. We foster a collaborative and supportive work environment. We are committed to the pursuit of excellence through the development of our employees to be the best they can be. We believe family and work-life balance is essential to long-term success.
JOB SUMMARY
The Data Engineer will be responsible for designing, implementing, and supporting solutions used to collect, transform, store, and analyze data from a variety of company applications. They analyze and organize raw data, build data systems and pipelines, review and analyze data infrastructure, plan, and implement solutions to store and manage data. On occasion, they will be asked to create reports, dashboards, and other analytics solutions. They will work closely with the lines of business and external partners, to ensure successful development and delivery of BI and data analytics solutions. This is a hands-on development and support position with ownership responsibility for data architecture and engineering for BI and analytics purposes.
ESSENTIAL FUNCTIONS
Design, develop, and maintain scalable data pipelines and systems.
Ensure data quality and integrity across various data sources.
Optimize and improve existing data workflows for better performance and reliability.
Develop and oversee adherence to proper technical procedures and methodologies.
Collaborate with business and operations teams to understand data requirements and deliver solutions that meet business needs.
Contribute to our suite of reports and data products, while collaborating with business analysts, business process owners, and other team members.
Engage in technical and user testing, training, deployment, support, and ongoing improvements.
COMPETENCIES
Data modeling, relational databases, data warehousing, and new technologies for each.
SQL programming skills, including writing optimized SQL queries for data retrieval and manipulation.
Manage all stages of the development lifecycle, including planning, requirements gathering, designing, developing, documenting, testing, training, deployment, and support.
Strong communication skills and a desire to engage with business and operations team members.
Own individual and cross-functional team deliverables on small to large projects.
Willingness and availability to travel to manufacturing sites.
Must be a self-starter, able to manage workload autonomously, and balance competing priorities.
Ability and desire to continuously learn about recent technologies and Analytics trends.
EDUCATION AND EXPERIENCE
Bachelor's Degree in Computer Science or Engineering, Data Analytics or Science, Information Systems, or a minimum of 4 years of equivalent experience are required.
2-4 years of experience in data engineering or a related competency is required.
Proficiency with Azure Data Factory, Azure Synapse, and Databricks is required.
Strong SQL and Python programming skills. MS SQL Server preferred.
Experience with ETL processes and data warehousing.
Knowledge of data governance and data security best practices.
Experience in reporting, dashboards, and BI tools (Power BI preferred).
Experience with ERP and MES solutions preferred (D365 and AVEVA MES, in particular).
Experience in Manufacturing, Supply Chain, Logistics, and Finance and Accounting solutions preferred.
COMPENSATION AND BENEFITS
Available on your first day: Full medical, vision, dental benefits, short-term disability, and long-term disability
Paid time off
Monthly wellness reimbursement
Health Savings, Flexible Spending and Dependent Care accounts
401(k) retirement savings plan with employer match
Annual bonus
TCGE is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Selected candidates must be willing to consent to and pass a criminal background check and pre-employment drug screening.
JOB SUMMARY
The Data Engineer will be responsible for designing, implementing, and supporting solutions used to collect, transform, store, and analyze data from a variety of company applications. They analyze and organize raw data, build data systems and pipelines, review and analyze data infrastructure, plan, and implement solutions to store and manage data. On occasion, they will be asked to create reports, dashboards, and other analytics solutions. They will work closely with the lines of business and external partners, to ensure successful development and delivery of BI and data analytics solutions. This is a hands-on development and support position with ownership responsibility for data architecture and engineering for BI and analytics purposes.
ESSENTIAL FUNCTIONS
Design, develop, and maintain scalable data pipelines and systems.
Ensure data quality and integrity across various data sources.
Optimize and improve existing data workflows for better performance and reliability.
Develop and oversee adherence to proper technical procedures and methodologies.
Collaborate with business and operations teams to understand data requirements and deliver solutions that meet business needs.
Contribute to our suite of reports and data products, while collaborating with business analysts, business process owners, and other team members.
Engage in technical and user testing, training, deployment, support, and ongoing improvements.
COMPETENCIES
Data modeling, relational databases, data warehousing, and new technologies for each.
SQL programming skills, including writing optimized SQL queries for data retrieval and manipulation.
Manage all stages of the development lifecycle, including planning, requirements gathering, designing, developing, documenting, testing, training, deployment, and support.
Strong communication skills and a desire to engage with business and operations team members.
Own individual and cross-functional team deliverables on small to large projects.
Willingness and availability to travel to manufacturing sites.
Must be a self-starter, able to manage workload autonomously, and balance competing priorities.
Ability and desire to continuously learn about recent technologies and Analytics trends.
EDUCATION AND EXPERIENCE
Bachelor's Degree in Computer Science or Engineering, Data Analytics or Science, Information Systems, or a minimum of 4 years of equivalent experience are required.
2-4 years of experience in data engineering or a related competency is required.
Proficiency with Azure Data Factory, Azure Synapse, and Databricks is required.
Strong SQL and Python programming skills. MS SQL Server preferred.
Experience with ETL processes and data warehousing.
Knowledge of data governance and data security best practices.
Experience in reporting, dashboards, and BI tools (Power BI preferred).
Experience with ERP and MES solutions preferred (D365 and AVEVA MES, in particular).
Experience in Manufacturing, Supply Chain, Logistics, and Finance and Accounting solutions preferred.
COMPENSATION AND BENEFITS
Available on your first day: Full medical, vision, dental benefits, short-term disability, and long-term disability
Paid time off
Monthly wellness reimbursement
Health Savings, Flexible Spending and Dependent Care accounts
401(k) retirement savings plan with employer match
Annual bonus
TCGE is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Selected candidates must be willing to consent to and pass a criminal background check and pre-employment drug screening.