Data Engineer (L09)

Synchrony; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Synchrony is seeking a Data Engineer (L9) in India to design and optimize scalable data pipelines for the Enterprise Data Lake and Data Warehouse. You will work in the Data Architecture & Analytics group within Engineering, supporting data ingestion, transformation, and loading in a fast-paced Agile environment.

You will collaborate with cross-functional teams, ensure data quality, and maintain metadata lineage while leveraging AWS, Oracle, and Ab Initio technologies.

Qualifications

• 3+ years hands-on experience with Ab Initio data pipelines.
• Proficient in shell scripting and complex SQL queries.
• Experience with AWS and Oracle databases.
• Familiar with CI/CD tools such as CloudBees and Bitbucket.
• Knowledge of scheduling tools like Stone Branch or Control Center.

Responsibilities

• Develop and maintain data pipelines using Ab Initio following coding standards.
• Perform Unit/SIT/UAT testing and assist in debugging results.
• Profile data to define data elements, mappings, and data quality rules.
• Provide data analysis for ingestion, standardization, and curation in data lakes/warehouses.
• Collaborate with Product Owners, PMs, and Data Engineers in a Scaled Agile framework.
• Ensure data lineage is documented in enterprise metadata repositories.

Skills

Ab Initio pipelines

Shell scripting

SQL queries

AWS

CI/CD tools

Scheduling tools

Education

Bachelor's degree in Engineering or Computer Science

Tools

Ab Initio

CloudBees

Bitbucket

Stonebranch

Control Center

Job description

Role Title: Data Engineer (L9)

Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company deliveringone of the industry’s most complete digitally enabled product suites. Our experience, expertise and scaleencompass 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. Wewere among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box EmployeeChoice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies forWomen, and Top-Rated Financial Services Companies. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programsthat cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities for all to takeup leadership roles

Organizational Overview:
This role will be part of the Data Architecture & Analytics group part of Engineering organization. Data team is responsible for designing and developing scalable data pipelines for efficient data ingestion, transformation, and loading(ETL). Data team owns and manages different tools platforms which provides an environment for designing and building different data solutions. Collaborating with cross-functional teams to integrate new data sources and ensure data quality and consistency. Building and maintaining data models to facilitate data access and analysis by Data Scientists and Analysts.

Role Summary/Purpose:
We are looking for a Data Engineer who will be building, enhancing, testing and providing effective data solutions for Enterprise Data Lake and Data Warehouse Applications . The individual will be part of a fast-paced Agile team, constantly changing and challenging work environment in Credit Technology at Synchrony.

Key Responsibilities:

• Develop and maintain data pipelines based on the business using Ab initio by following the coding standards and procedures.
• Perform Unit/SIT/UAT testing and work with team members to debug and evaluate the business results .
• Profile data to assist with defining the data elements, propose business term mappings, and define data quality rules.
• Provide data analysis for Synchrony’s data ingestion, standardization and curation efforts ensuring all data is understood from a business context.
• Work closely with Product Owners, Product Managers, Program Manager, Scrum Masters and Data Engineers in a Scaled Agile framework.
• Work with the Data Office to ensure the lineage of all data assets are properly documented in the appropriate enterprise metadata repositories.

Required Skills/Knowledge:

• Must have minimum of 3 years hands-on experience in building and maintaining Ab initio data pipelines.
• Must have knowledge in writing shell scripts, complex SQL queries and familiar with CI-CD tools such as Cloud Bees and Bitbucket.
• Must have knowledge on Cloud environments such as AWS with any of the databases such as Oracle.
• Must have knowledge on any of the scheduling tools like Stone Branch ,Control Center or any other similar scheduling tools.

Desired Skills/Knowledge:

• Good to have experience working in Financial Industry or Credit processing experience.
• Good to have knowledge on S3 buckets, Redshift and other AWS services.
• Good understanding of SAFe methodology/working in Agile environment.
• Good understanding using AI as peer programmer.
• Ability to develop and maintain strong collaborative relationships at all levels across IT and the business.
• Excellent written and oral communication skills.
• Experience working iteratively in a fast-paced agile environment.

Eligibility Criteria: Bachelor's degree in a quantitative field (such as Engineering, Computer Science) with 1+ years’ experience or in lieu of degree 3+ years of Information Technology experience within financial services.

Work Timings:
2 PM to 11 PM IST:This role qualifies for Enhanced Flexibility and Choice 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. Please discuss this with the hiring manager for more details.)

Grade/Level: 09

Job Family Group: Information Technology