IT Senior Specialist - Integration and Data Management

If you desire to be part of something special, to be part of a winning team, to be part of a fun team - winning is fun. We are looking forward to an IT Senior Specialist - Integration and Data Managementin Shanghai. In Eaton, making our work exciting, engaging, meaningful; ensuring safety, health, wellness; and being a model of inclusion & diversity are already embedded in who we are - it's in our values, part of our vision, and our clearly defined aspirational goals.

What you'll do:

• Expert involvement in large development, build, and test scenarios for data solutions to deliver business value while meeting quality & technical requirements.
• Own end-to-end delivery of source data acquisition, complex transformation and orchestration pipelines, AI/ML engineering, and front-end visualization.
• Executive level communications across business and IT stakeholders.
• Responsible for collaboration across complex arrays of people including executives, large technology and environments.
• Responsible for delivery of robust data solutions aligned to prescribed quality measures (availability, completeness, accuracy, etc.)
• Designs & Assembles complex enterprise datasets that meet functional and non-functional requirements and enterprise technology and data protection standards.
• Delivers strategic infrastructure and data pipelines required for optimal extraction, transformation and loading of data from a wide variety of sources.
• Owns complex enterprise solutions to a wide range of data technology patterns and platforms.
• Design, Engineer and orchestrate datasets with scale, supportability and reusability at the forefront of design.
• Demonstrate and document solutions by using flowcharts, diagrams, code comments, data lineage, and technical and business metadata.
• Partner with senior business stakeholders, functional analysts, and data scientists to ensure solutions meet or exceed requirements.
• Requires conceptual thinking to understand complex issues and their implications. Implements solutions considering a longer-term view, consideration of multiple perspectives, and understanding of future impact.

• Bachelor's degree from an accredited institution. Masters or advanced degree is preferred.
• 10+ years of relevant experience.
• Advanced experience with one or more data storage and processing technologies (data lake, warehouse, timeseries, graph) on prem as well as Cloud. Preferred Snowflake Data Platform, Azure Data Factory.
• Intermediate ability to interact with batch (ETL/ELT), on-demand (API, SQL), and streaming (messaging, queues) data integration methodologies.
• Demonstrated experience with cloud-based data storage (object, database) and processing (Spark, MPP warehouse, containers) technologies.
• Experience with dimensional (Star, Snowflake, Data Vault) and transactional (3rd normal form) data modeling using OLTP, OLAP, NoSQL and Big Data technologies.
• Expert-level programming ability in multiple data manipulation languages (Python, Scala, SQL, PL-SQL).
• Advanced data visualization experience in one or more technologies (e.g., Power BI, Grafana, R, Python) to create interactive analytics solutions.
• Experience developing and supporting data and AI/ML pipelines, inclusive of code, orchestration, quality and observability.
• Intermediate experience with DevSecOps and CI/CD principles and tools.
• Expert-level role providing leadership on complex assignments/projects.
• Conveys complex information and persuades diverse audiences. Frequently advises others on complex matters.
• Ability to adapt to the situation and pivot based on changing priorities. Agile learner.
• Curious and solution oriented, ability to handle problems from all sides, work outside the comfort zone.
• Collaborate with the team and be open minded to ideas.
• Establishing & maintaining relationships with individuals at all levels
• Experience working in Manufacturing domain preferred.