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Synchrony

AVP, Principal Data Engineer (L11)

Posted 7 Days Ago
In-Office or Remote
19 Locations
Senior level
In-Office or Remote
19 Locations
Senior level
Lead design and development of data engineering applications and teams, implementing ETL/ELT on data warehouse and data lake platforms (Ab Initio, Hadoop, Spark). Build batch and real-time data pipelines (Kafka), partner with product and architecture, drive DevOps deployments, mentor engineers, ensure scalability/resiliency, and support production operations and cloud migrations (AWS S3/Redshift).
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Job Description:

Role Title : AVP, Principal Data Engineer (L11)

Company Overview : Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

  • We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

  • We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

  • We provide career advancement and upskilling opportunities for all to take up leadership roles

Organizational Overview:

Synchrony's Engineering Team is a dynamic and innovative team dedicated to driving technological excellence. As a member of this Team, you'll play a pivotal role in designing and developing cutting-edge tech stack and solutions that redefine industry standards.

The Credit Card that we use every day to purchase our essentials and later settle the bills - A simple process that we all are used to on a day to day basis. Now, consider the vast complexity hidden behind this seemingly simple process, operating tirelessly for millions of cardholders. The sheer volume of data processed is mind-boggling. Fortunately, advanced technology stands ready to automate and manage this constant torrent of information, ensuring smooth transactions around the clock, 365 days a year.

Our collaborative environment encourages creative problem-solving and fosters career growth. Join us to work on diverse projects, from fintech to data analytics, and contribute to shaping the future of technology. If you're passionate about engineering and innovation, Synchrony's Engineering Team is the place to be

Key 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.

  • 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

  • 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.

Qualifications/Requirements:

  • 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.

  • Experience in Cloud migration and upgrading.

  • Hands-on experience, POCs on upcoming new tools in Cloud space.

Desired Characteristics:

  • Prior experience as a Data Engineering Technical Lead leading team in Scaled Agile framework.

  • Experience owning multiple mission critical applications on data platform.

  • Experience with batch and real-time data pipelines in a DevOps environment.

  • 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.

  • Experience in designing ETL pipelines to enable automated data load into AWS S3 & Redshift.

  • Prior work experience in a Credit Card/Banking/Fintech company.

  • Experience dealing with sensitive data in a highly regulated environment.

  • Demonstrated implementation of complex and innovative solutions.

  • Nice to have AWS Solution Architect/Data Engineer certification.

Eligibility Requirements:

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.

Work Timings: 3 PM to 12 AM IST

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs) We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR. Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events

For Internal Applicants:

  • 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

Grade / Level : 11

Job Family Group:

Information Technology

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