AVP, Senior Data Engineer
SynchronyAbout the role
Job Description:
Role Summary/Purpose:
We are looking for a Principal Data Engineer to lead the development of consumer-centric applications on RDBMS platforms (Oracle, MYSQL) and Big Data platforms (Hadoop). 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.
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:
Understand and manage the data needs of stakeholders across multiple agile teams.
Lead the design & implementation of scalable, performant & fault tolerant data applications on Oracle/MYSQL and Hadoop platforms to store & process terabytes of data from upstream sources with high availability, using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL).
Engage with and take direction from information architects, platform architects, data scientists and product management on solution requirements to design solutions.
Contribute to high impact problems/projects through in-depth evaluation of complex business processes, system processes, enterprise standards & procedures.
Enforce data management standards and procedures
Partner with multiple teams to ensure appropriate data solutions to meet goals as well as identify and define necessary system and process enhancements.
Provide technical leadership for data engineering agile teams to deliver against sprint and program increment objectives.
Work closely with Product Owners, Product Managers, Program Manager, Scrum Masters and Team Members in a Scaled Agile framework.
Stay up to date on latest trends in data engineering and recommended best practices.
Develop innovative frameworks to avoid redundancy by promoting automation.
Perform special projects as assigned.
Mentor and coach data engineering team members to promote Synchrony values and culture.
Qualifications/Requirements:
Must have a bachelor’s degree in Computer Science, Engineering, or a related field.
6+ years of experience in ETL/Data warehousing with 4+ years of experience with large scale deployments in Oracle, MYSQL and Big Data environments such as Hortonworks/Cloudera.
Prior experience as a Hadoop Technical Lead / Architect
Strong experience and deep understanding of ETL, data warehousing, data lake technologies (Hadoop & Spark) and analytics concepts.
Experience with batch and real-time data pipelines in a DevOps environment.
Willing to work in a fast-paced environment with globally located Agile teams working in different shifts.
Ability to develop and maintain strong collaborative relationships at all levels across IT and Business Stakeholders.
Excellent written and oral communication skills. Adept and presenting complex topics, influencing and executing with timely / act
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