AVP, Data Engineer

Synchrony

Big Data Engineer for Synchrony developing a low-latency Fraud analytics application. Involves working with advanced data technologies for modernization and transformation of existing systems.

Posted 7/9/2026full-timeHyderabad • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data applications using Big Data and Cloud technologies, with a strong focus on compliance with data management standards. Proficient in collaborating with cross-functional teams to deliver innovative data solutions and enhance business processes.

Highest-signal resume keywords

Big Data TechnologiesCloud PlatformsAI TechnologyAWS ServicesFull Lifecycle Software Development

ATS Keywords

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Hard Skills

Data Application DesignData ProcessingSQLScalaPythonSparkHiveKafkaPerformance TuningUnit Testing

Soft Skills

CollaborationProblem SolvingCommunicationRelationship ManagementAgile Methodologies

Tools & Technologies

AWSHadoopCassandraGraph DatabasesMySQL

Industry Keywords

Data Management StandardsEnterprise StandardsBusiness ProcessesScaled Agile FrameworkAutomation

Tech Stack

Tools & technologies

AWSCassandraCloudHadoopKafkaMySQLPythonScalaSparkSQL

About the role

Key responsibilities & impact

Understand and manage the data needs for Synchrony’s fraud teams
Responsible for the design and implementation of scalable & fault tolerant data applications on Big-Data & Cloud Platforms
Store and process terabytes of data from upstream sources with high availability
Partner with information architects, platform architects, data scientists and product management on solution requirements to design solutions
Resolve problems through in-depth evaluation of business processes and enterprise standards & procedures
Comply with data management standards and procedures
Responsible for design, development, testing oversight and production implementation using AI, AWS services, Spark, Hive, Kafka, API, Scala, Python, & SQL
Daily meetings with the technical team to ensure appropriate data solutions
Work closely with Product Owners, Product Managers, Program Managers, Scrum Masters and Team Members in a Scaled Agile framework
Engage in mid-level business partner engagement; management of relationship and inter-group planning among technology leadership/peers
Stay up to date on latest trends in Data engineering and recommended best practices
Utilize innovative frameworks to avoid redundancy by promoting automation
Collaborate with data engineering team members to promote Synchrony values and culture
Perform other duties and/or special projects as assigned

Requirements

What you’ll need

B.S. in Computer Science or similar technical field; with minimum 5+ years of experience in full lifecycle software development
in lieu of a degree 7+ years of experience in full lifecycle software development
6+ years of experience in full lifecycle software development: coding, design, documentation, unit tests, maintenance, and performance tuning
6+ years of experience in utilizing a variety of Big Data, Cloud, and traditional database technologies in applications such as: AWS, Spark, Hadoop, Hive, Cassandra, Graph Databases, MySQL, etc.
1-2 years’ experience working with AI technology
Ability and flexibility to travel for business as required

Benefits

Comp & perks

best-in-class employee benefits and programs catering to work-life integration and overall well-being
career advancement and upskilling opportunities