Shape manufacturability early by partnering with formulation, packaging, Product Supply, Quality, Regulatory and country teams to turn consumer/product requirements into process needs and manufacturing feasibility criteria.
Evaluate production pathways by assessing internal sites, contract manufacturers and other supply options for equipment capability, technical complexity, scale, lead time, investment, cost and country-specific requirements.
Define minimum viable learning by identifying the highest-risk processing assumptions early and planning focused bench, pilot and line trials that rapidly inform design, process choices and timing decisions.
Own process design and scale-up by defining process flow, critical process parameters, equipment and utility requirements, mixing/filling/assembly conditions, process windows and practical scale-up strategy.
Plan and execute trials by leading or coordinating pilot trials, line qualifications and process validation activities; using DOE, FMEA, root cause analysis and statistical/technical tools as appropriate.
Lead a team of data engineers to design, build, and maintain scalable data pipelines and ETL processes, ensuring data quality, integrity, and security across all systems.
Responsibilities
Lead a team of data engineers in developing and implementing Big Data solutions
Design and build scalable and reliable data pipelines and ETL processes
Ensure data quality, integrity, and security across all data systems
Collaborate with stakeholders to understand and address business requirements
Provide technical guidance and mentorship to junior team members
Lead a team of data engineers to design, build, and maintain scalable Big Data solutions and ETL pipelines, ensuring data quality, integrity, and security while collaborating with stakeholders and mentoring junior team members.
Responsibilities
Lead a team of data engineers in developing and implementing Big Data solutions
Design and build scalable and reliable data pipelines and ETL processes
Ensure data quality, integrity, and security across all data systems
Collaborate with stakeholders to understand and address business requirements
Provide technical guidance and mentorship to junior team members
Design and develop scalable data processing systems; implement and maintain data pipelines; optimize data infrastructure; collaborate with data scientists and analysts; troubleshoot data issues; stay current with emerging technologies; mentor junior data engineers.
Responsibilities
Design and develop scalable data processing systems
Implement and maintain data pipelines to ingest, process, and store large volumes of data
Optimize data infrastructure for performance and reliability
Collaborate with data scientists and analysts to understand data requirements and implement appropriate solutions
Troubleshoot and resolve data-related issues in a timely manner
Market Development RepresentativeSazerac Company · Kansas City, US