Manager- Data Engineering

1. Position Summary The Data Engineering Lead is responsible for designing, building and operating data platforms and pipelines required for AI, analytics and automation use cases. The role leads a team of Data Engineers to implement the data architecture defined by the Architecture Lead and Solution Architect, ensuring reliable, high-quality and well-governed data for use cases such as Manufacturing Control Tower, Golden Batch, Yield Improvement, OOS prediction and pricing models. 2. Roles Played: This role will be responsible for leading a team of Data Engineers to design, build and operate data platforms and pipelines required for AI, analytics and automation use cases. The role will also work closely with the Architecture Lead and Solution Architect to ensure that the data architecture is implemented correctly. 3. Key Responsibilities: - Design, build and operate data platforms and pipelines required for AI, analytics and automation use cases. - Lead a team of Data Engineers to implement the data architecture defined by the Architecture Lead and Solution Architect. - Ensure reliable, high-quality and well-governed data for use cases such as Manufacturing Control Tower, Golden Batch, Yield Improvement, OOS prediction and pricing models. - Collaborate with cross-functional teams to ensure that data platforms and pipelines are aligned with business requirements. 4. Requirements: - Bachelor's degree in Computer Science or related field. - At least 5 years of experience in Data Engineering. - Strong understanding of data architecture and design principles. - Experience with cloud-based data platforms such as AWS, Azure, Google Cloud. - Experience with big data technologies such as Hadoop, Spark, Hive. - Strong programming skills in languages such as Python, Java, Scala. - Experience with data governance and compliance regulations such as GDPR, HIPAA. - Strong communication and leadership skills.