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What you’ll do:

As a Data Engineer, you will play a pivotal role in shaping and optimizing Eaton Global Supply Chain Management organization’s data infrastructure. Your responsibilities will span from designing and implementing data solutions to ensuring data integrity and security. This is a hands-on role with a responsibility to work with other data engineers to deliver the data needs to the organization.

• 3-8 years Experience in Azure, ETL, Data warehousing, Snowflake exp is an add on, Azure Data Lake Storage ( ADLS) , SQL, HQL, Azure Synapse, Data Factory,

• Experience developing / using Extract Transform Load ( ETL) solutions

• Design, implement, and maintain the data models for all supply chain data, including supplier, customer data, transactional data, and other relevant datasets.

• Collaborate with business stakeholders, data scientists, and software engineers to understand data needs and develop effective solutions.

• Develop strategies to ensure the organization effectively utilizes data to meet its goals.

• Data Storage Solutions:

• Create and manage data storage solutions that meet security requirements.

• Monitor and maintain the company’s data infrastructure to ensure data integrity and accuracy.

• Data Analytics and Visualization:

Qualifications:

3 to 8 years Experience

Experience developing / using Extract Transform Load ( ETL) solutions

Skills:

• Azure, Data Warehousing, ETL, Azure data factory

• Snowflake- Good to have

• JIRA, GitHub, CICD deployment , Agile development.

• Understanding of User Interface and User Experience concepts

• Customer Service Mindset.

• Effective communication, and problem-solving skills

• A team player, servant leader - dedicated to contributing toward the outcome desired by the Organization