Data Engineer

Job Description:

Role Summary/Purpose: 

The candidate Big Data Engineer will join an Agile scrum team and perform functional & system development for Synchrony’s Enterprise Data Lake. 

As a Big Data Engineer the ability to integrate data across internal and external sources, provide analytical insights, and integrate with our critical systems are key skills.  The engineer will participate in data analysis efforts to ensure the delivery of high-quality data ingestion, standardization and curation and maintain compliance with the applicable Data Sourcing, Data Quality, and Data Governance standards.  The engineer will drive quality through the entire software development lifecycle with focus on functional requirements, efficiency, and methodology. The engineer will work cross-functionally with operations, other data engineers and product owner to assure capabilities are delivered that meet business needs.  

Our Way of Working

We’re proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.

Essential Responsibilities: 

• Develop big data applications for Synchrony in Hadoop ecosystem 

• Participate in the agile development process including backlog grooming, coding, code reviews, testing and deployment 

• Work with team members to achieve business results in a fast paced and quickly changing environment 

• Work independently to develop analytic applications leveraging technologies such as: Hadoop, NoSQL, In-memory Data Grids, Kafka, Spark, Ab Initio 

• Provide data analysis for Synchrony’s data ingestion, standardization and curation efforts ensuring all data is understood from a business context  

• Identify enablers and level of effort required to properly ingest and transform data for the data lake. 

• Profile data to assist with defining the data elements, propose business term mappings, and define data quality rules 

• Work with the Data Office to ensure that data dictionaries for all ingested and created data sets are properly documented in data dictionary repository

• Ensure the lineage of all data assets are properly documented in the appropriate enterprise metadata repositories 

• Assist with the creation and implementation of data quality rules 

• Ensure the proper identification of sensitive data elements and critical data elements 

• Create source-to-target data mapping documents 

• Test current processes and identify deficiencies 

• Investigate program quality to make improvements to achieve better data accuracy 

• Understand functional and non-functional requirement and prepare test data accordingly 

• Plan, create and manage the test case and test script 

• Identify process bottlenecks and suggest actions for improvement  

• Execute test script and collect test results 

• Present test cases, test results, reports and metrics as required by the Office of Agile 

• Perform other duties as needed to ensure the success of the team and application and ensure the team’s compliance with the applicable Data Sourcing, Data Quality, and Data Governance standards 

<