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.
We’re proud to offer you choice and flexibility. You have the option to be remote, and work from home, or come into one of our offices. You may be occasionally requested to commute to our nearest office for in person engagement activities such as 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
Qualifications/Requirements:
Bachelor's degree OR in lieu of Bachelor's degree, High School Diploma/GED and minimum 2 years of Information Technology experience
Minimum of 1 year of Hands-on experience writing shell scripts, complex SQL queries, Hive scripts, Hadoop commands and Git
Ability to write abstracted, reusable code components
Programming experience in at least one of the following languages: Scala, Java or Python
Analytical mindset
Willingness and aptitude to learn new technologies quickly
Superior oral and written communication skills;
Ability to collaborate across teams of internal and external technical staff, business analysts, software support and operations staff.
Desired Characteristics:
Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics)
Performance tuning experience
Exposure to the following Ab Initio tools: GDE – Graphical Development Environment; Co>Operating System ; Control Center; Metadata Hub; Enterprise Meta>Environment; Enterprise Meta>Environment Portal; Acquire>It; Express>It; Conduct>It; Data Quality Environment; Query>It.
Familiar with Ab Initio, Hortonworks/Cloudera, Zookeeper, Oozie and Kafka
Familiar with Public Cloud (i.e. AWS, GCP, Azure) data engineering services
Familiar with data management tools (i.e. Collibra)
Background in ETL, data warehousing or data lake
Strong business acumen including a broad understanding of Synchrony business processes and practices
Demonstrated ability to work effectively in an agile team environment
Financial Industry or Credit processing experience
Experience with working on a geographically distributed team managing onshore/offshore resources with shifting priorities
Previous experience working in client facing environment
Proficient in the maintenance of data dictionaries and other information in Collibra
Excellent analytical, organizational and influencing skills with a proven track record of successfully executing on assignments and initiatives
Grade/Level: 09
Eligibility Requirements:
You must be 18 years or older
You must have a high school diploma or equivalent
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Our Commitment:
When you join us, you’ll be part of a diverse, inclusive culture where your skills, experience, and voice are not only heard—but valued. We celebrate the differences in all of us and believe that our individual, unique perspectives is what makes Synchrony truly a great place to work. Together, we’re building a future where we can all belong, connect and turn ideals into action. Through the power of our 8 Diversity Networks+, with more than 60% of our workforce engaged, you’ll find community to connect with an opportunity to go beyond your passions.
This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.
Reasonable Accommodation Notice:
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time
Job Family Group:
Information Technology
OPIS, A Dow Jones Company
