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Synchrony
AVP, Principal Data Engineer (L11)
Synchrony
New Delhi•On-site•6-9 Yrs•4 days ago
Job description
Overview
Role Title : AVP, Principal Data Engineer (L11)
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 Data warehouse applications using Ab Initio, data lake 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.
Qualifications
- 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
- 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.
- BS in computer science or engineering degree, Master’s degree preferred.
- 6+ years experienced hands on working experience on maintaining, optimizing, resolving issues of Hadoop clusters, supporting business users, EDL batch processes, and real time services or in lieu of a degree 8+ years of relevant experience.
- Proficiency in Oracle, Ab Initio, Spark, and Cloud data engineering.
- 10+ years’ experience in Linux / Unix OS services, and system administration.
- Good knowledge in networking.
- Hands-on experience, POCs on upcoming new tools in Cloud space.
- Prior experience as a Data Engineering Technical Lead leading team in Scaled Agile framework.
- Must be 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 /actionable follow-through.
- Prior
- in a Credit Card/Banking/Fintech company.
- Demonstrated implementation of complex and innovative solutions.
Nice to have
- Understand the criteria or mandatory skills required for the role, before applying
- Inform your manager and HRM before applying for any role on Workday
- Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)
- Must not be any corrective action plan (First Formal/Final Formal, LPP)
- L9+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
- L9+ Employees can apply
- 6+ years experienced hands on working experience on maintaining, optimizing, resolving issues of Hadoop clusters, supporting business users, EDL batch processes, and real time services or in lieu of a degree 8+ years of relevant experience.