Georgia-Pacific LLC
Overview
Your Job As a Senior Data Engineer on the Enterprise Manufacturing Analytics & BI team, you will deliver real-time, consistent data solutions to manufacturing users while advancing our analytics capabilities through AWS cloud migration. Your role includes developing OLAP cubes, automating data feeds from systems like MES and PI into a data lake, and monitoring ELT processes. You will write efficient SQL, maintain high-quality code, document requirements, and collaborate with stakeholders to deliver reports and resolve data quality issues. Additionally, you’ll support critical manufacturing applications, month-end processes, and ensure clear communication with users, technical teams, and management. What You Will Do
Develop OLAP cubes and data transformation solutions. Build and automate data feeds from source systems (MES, PI, historians) into a data lake. Monitor and support ELT jobs for data transformation and aggregation. Document requirements, system specs, and code. Collaborate with stakeholders to analyze needs and deliver reports and metrics. Write secure, efficient SQL code (stored procedures, functions). Maintain high-quality code adhering to standards. Communicate effectively with users, technical teams, and management. Identify critical manufacturing applications, dependencies, and business continuity requirements. Analyze complex datasets and resolve data quality issues. Support month-end closing and standard IT procedures. Who You Are (Basic Qualifications)
Bachelor’s degree in Computer Science or Engineering and 4+ years IT experience. Experience with SSIS, SSAS, and data analytics/transformation. Proven data engineering skills: ETL, data warehousing, real-time streaming, metadata, workflow management. Proficient in SQL, .Net, Python, and/or SSAS programming. Strong experience in data modeling, building ETL pipelines, and working with complex enterprise datasets. What Will Put You Ahead
Master's Degree in related field or industry. 2+ years working with AWS cloud databases (RDS, Redshift, Aurora, Postgres, Microsoft SQL). Familiarity with cloud BI deployments and AWS ecosystem. Experience with analytics tools: Hana, SSRS, Tableau, Alteryx, PowerBI. Ability to integrate disparate data sources and develop BI content in a dynamic environment. Experience collaborating with global teams across time zones. Solid technical background in infrastructure technologies. Knowledge of GP’s business and organization a plus. Strong customer service and communication skills. Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information.
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Your Job As a Senior Data Engineer on the Enterprise Manufacturing Analytics & BI team, you will deliver real-time, consistent data solutions to manufacturing users while advancing our analytics capabilities through AWS cloud migration. Your role includes developing OLAP cubes, automating data feeds from systems like MES and PI into a data lake, and monitoring ELT processes. You will write efficient SQL, maintain high-quality code, document requirements, and collaborate with stakeholders to deliver reports and resolve data quality issues. Additionally, you’ll support critical manufacturing applications, month-end processes, and ensure clear communication with users, technical teams, and management. What You Will Do
Develop OLAP cubes and data transformation solutions. Build and automate data feeds from source systems (MES, PI, historians) into a data lake. Monitor and support ELT jobs for data transformation and aggregation. Document requirements, system specs, and code. Collaborate with stakeholders to analyze needs and deliver reports and metrics. Write secure, efficient SQL code (stored procedures, functions). Maintain high-quality code adhering to standards. Communicate effectively with users, technical teams, and management. Identify critical manufacturing applications, dependencies, and business continuity requirements. Analyze complex datasets and resolve data quality issues. Support month-end closing and standard IT procedures. Who You Are (Basic Qualifications)
Bachelor’s degree in Computer Science or Engineering and 4+ years IT experience. Experience with SSIS, SSAS, and data analytics/transformation. Proven data engineering skills: ETL, data warehousing, real-time streaming, metadata, workflow management. Proficient in SQL, .Net, Python, and/or SSAS programming. Strong experience in data modeling, building ETL pipelines, and working with complex enterprise datasets. What Will Put You Ahead
Master's Degree in related field or industry. 2+ years working with AWS cloud databases (RDS, Redshift, Aurora, Postgres, Microsoft SQL). Familiarity with cloud BI deployments and AWS ecosystem. Experience with analytics tools: Hana, SSRS, Tableau, Alteryx, PowerBI. Ability to integrate disparate data sources and develop BI content in a dynamic environment. Experience collaborating with global teams across time zones. Solid technical background in infrastructure technologies. Knowledge of GP’s business and organization a plus. Strong customer service and communication skills. Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information.
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