1 day ago
Hyderābād, IndiaStaff+
Responsibilities
- Design, develop, and lead production-grade data engineering applications across agile teams.
- Build scalable ELT/ETL and 24x7 real-time event-streaming pipelines using Ab Initio, Spark Streaming, Kafka, AWS MSK, and Confluent Kafka.
- Own high-throughput, low-latency event-driven workflows and operate AWS Lakehouse infrastructure using S3, Glue, EMR, and Redshift.
- Develop AI-ready data products and feature pipelines for analytics and operational AI use cases.
- Lead migration of legacy batch ETL systems to cloud-native, event-driven architectures.
- Translate architectural designs into scalable implementations and collaborate with solution architects, product owners, and program managers.
- Define data engineering standards, coding practices, CI/CD and DevOps processes, and mentor engineers.
- Travel for business and periodically commute to a regional engagement hub or Hyderabad for meetings, training, or culture events as needed.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field with 8+ years of ELT/ETL, data warehousing, Lakehouse, or large-scale data platform engineering experience.
- In lieu of a degree, 10+ years of equivalent hands-on experience in large-scale data environments.
- 8+ years of full-lifecycle data engineering experience across Ab Initio, Kafka, Spark, Hive, relational databases, and AWS services.
- 5+ years of experience with 24x7 real-time or streaming pipelines.
- 2+ years of AWS cloud platform engineering experience, including infrastructure-as-code and containerized workloads.
- Experience leading or mentoring data engineering teams in an Agile/SAFe delivery environment.
- Experience with FinTech, credit card, or banking environments and regulated sensitive data is preferred.
- AWS Solutions Architect or AWS Data Engineer certification, or active pursuit of certification, is preferred.
- Exposure to agentic AI or LLM-integrated data workflows is preferred.
- Thought leadership through articles, publications, or open-source contributions is preferred.
- Ability to communicate complex technical topics and influence IT and business stakeholders.
Benefits
- Enhanced flexibility with the option to work from home or from Synchrony Regional Engagement Hubs in Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
- Regular work timing is 3:00 PM to 12:00 AM IST, with required availability during 06:00 AM to 11:30 AM Eastern Time; remaining hours are flexible.
- Occasional in-person attendance or travel to Hyderabad or a regional engagement hub may be required.
- The role is part of Synchrony India’s Grade/Level 11 organization.
Tech Stack
Categories
Data Engineering
About Synchrony
Synchrony (NYSE: SYF) provides consumer financing and payments solutions—such as private-label and co-branded credit cards, installment loans, and promotional financing—distributed through retailer and healthcare partnerships. It also operates Synchrony Bank, an online bank offering savings products and CDs. Headquartered in Stamford, Connecticut, the company was spun out of GE’s retail finance business in 2014 and serves millions of U.S. consumers and hundreds of thousands of small and midsize businesses.