Job Description:

QUALIFICATIONS/REQUIREMENTS:

• Bachelor’s degree preferred with a concentration of study in Computer Science, Engineering or related field and 4 to 5 years of work experience with ELT/ETL/Data warehousing, large scale Data environments e.g., Cloudera and public cloud (AWS preferred) using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL)
• In lieu of a degree, a certification in related field and 8 to 9 years of work experience with above mentioned exposure to large scale data environments.

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.

ROLE SUMMARY/PURPOSE:

We are looking for a AVP Principal Data Engineer to lead the development of consumer-centric low latency analytic environment leveraging Data technologies and transform the legacy systems. This role is an exciting, fast-paced, constantly changing, and challenging work environment, and will play an important role in resolving and influencing high-level decisions across Synchrony.

ESSENTIAL RESPONSIBILITIES:

• Design, develop and lead data engineering applications in highly agile and fast-moving teams.
• Lead a data engineering team and roll up the sleeves to individually contribute when required.
• Implement ETL/ELT on a big data platform (Cloudera Hadoop cluster) / Container using Ab Initio, Spark, Hive, Kafka, RDBMS(Oracle, MySQL), NoSQL databases(Cassandra), and public cloud solutions.
• Responsible for design, development, testing oversight and production implementation.
• Experience with batch and real-time data pipelines in a DevOps environment using Ab Initio and Spark.
• Work closely with Product owners, Product Managers, Program manager, scrum masters in a Scaled Agile framework.
• Partner with architects to efficiently design data applications with scalability, resiliency and speed.
• Lead data engineering team to drive program delivery.
• Drive technical development and application standards across enterprise data lake and data warehouse.
• Accomplish results by communicating expectations; planning, monitoring, and appraising results; coaching, counseling, and disciplining employees; developing, coordinating, and enforcing systems, policies, procedures, and productivity standards.
• Collaborate across cross-functional teams to improve and deliver on business objectives and priorities.
• Apply technical knowledge, industry experience, expertise, and insights to contribute to the development & execution of Engineering capabilities.
• Stays up-to-date on latest trends in data engineering, recommends best practices, develops innovative frameworks to avoid redundancy by promoting automation.
• Mentor and coach the team to promote Synchrony values and culture.
• Perform other duties and/or special projects as assigned.