Data Lake Admin

 

This candidate will be a key contributor to the Global Data Management & Analytics team by implementing innovative big data solutions to solve business challenges. Business challenges this individual will contribute to include data integrations, relational data source ingestion / mapping / transformation , cloud application integration, and more.

The ideal candidate will have an excitement for big data technologies as well as a demonstrated ability to apply both established and emerging technologies to solve problems. He/she takes initiative to add value and is constantly looking to improve existing processes and solutions.

He will have hands on experience in big data architecture and data warehousing principles as well as hands on experience in full information lifecycle for large scale big data environments -- from data origination to data consumption.

 

Key Duties:

Administer our data lake organizing access controls processes
Support the ETL development team providing cloud best practices
Develop, test, implement, evaluate, and document transformation logic for data integration patterns involving both structured and unstructured data into the big data ecosystem
Support and maintain previously implemented big data projects, as well as provide guidance and consultation on other projects in active development as needed
Document and communicate technical complexities completely and clearly to team members and other key stakeholders
Contribute to govern data decisions related to data model design, data access patterns, and data services

Document logical data integration (ETL) strategies for data flows between disparate source/target systems for structured and unstructured data into common data lake and the enterprise information repositories
Think critically to deliver innovative solutions which solve tactical and strategic business needs
Requirements:

BS Degree in Computer Science or Engineering, or related field
5 +years experience in Data Warehousing
5 + years experience in Cloud environment
Experience in Snowflake tool is a must
Experience in AWS is a preference
Experience in SQL
Experience in integrating complex, corporate-wide processes and data models
Advanced analytical thinking and problem solving skills
Strong interpersonal skills
Excellent Communication skills
Fluent in English