IT Senior Specialist - Integration and Data Management

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• 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.

Qualifications:

• 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.

Yes! Because you are the one we are looking for, we hope to hear from you now!

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