Data Engineer (L8)

Synchrony is a premier consumer financial services company delivering a complete digitally enabled product suite. They are seeking a Data Engineer to build and enhance data solutions for Enterprise Data Lake Applications while collaborating with cross-functional teams to ensure data quality and consistency.

Responsibilities:

• Develop and maintain data pipelines based on the business requirements in the Hadoop ecosystem by following the coding standards and procedures
• Perform Unit/SIT/UAT testing and work with team members to debug and evaluate the business results. Profile data to assist with defining the data elements, propose business term mappings, and define data quality rules
• Provide data analysis for data ingestion, standardization and curation efforts ensuring all data is understood from a business context
• Work closely with Product Owners, Product Managers, Program Manager, Scrum Masters and Data Engineers in a Scaled Agile framework
• Work with the Data Office to ensure the lineage of all data assets are properly documented in the appropriate enterprise metadata repositories

Requirements:

• Must have knowledge on building graphs, dml functions, psets, plans and ability to write abstracted, reusable code components in Ab initio GDE
• Must have knowledge in writing shell scripts, complex sql queries and familiar with CI-CD tools such as CloudBees and Bitbucket
• Must have knowledge with any of the databases such as Hive, Oracle and MySQL
• Must have knowledge on the any of the scheduling tools like StoneBranch, Control Center or any other similar scheduling tools
• Bachelor's degree in a quantitative field (such as Engineering, Computer Science) with 1+ years' experience or in lieu of degree 3+ years of Information Technology experience within financial services
• Good to have experience working in Financial Industry or Credit processing experience
• Good to have knowledge on Cloud such as AWS services
• Hands on experience with Ab initio ETL tool and any of the databases such as Hive, Oracle and MySQL
• Excellent written and oral communication skills & Experience working iteratively in a fast-paced agile environment