Data Engineer (L09)
Hyderabad IN, India
Synchrony
Find great deals, promotional offers, credit cards, savings products, payment solutions, and more. See how Synchrony can help you today!Job Description:
Role Title: Data Engineer (L9)
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.
Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members.
We offer Flexibility and Choice for all employees and 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, focusing on Advancing Diverse Talent to take up leadership roles.
Organizational Overview: This role will be part of the Data Architecture & Analytics group part of CTO 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 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 requirements in the Hadoop ecosystem 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 Team Members 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:
Bachelor's degree in a quantitative field (such as Engineering, Computer Science) with 2+ years of Information Technology experience or in lieu of degree 4+ years of Information Technology experience.
Minimum 2+ years of financial services experience
Must have knowledge on Python or Java, Spark and Scala and ability to write abstracted, reusable code and error handling scenarios.
Must have knowledge in writing shell scripts, complex sql queries and familiar with CI-CD tools such as CloudBees and Bitbucket.
Must have knowledge on Cloudera, Zookeeper and Kafka and proficient with databases such as Hive, Oracle and MySQL
Must have knowledge on the scheduling tools like StoneBranch ,Control Center or any other similar scheduling tools.
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.
Demonstrated competency linking business strategy with IT technology initiatives
Proven track record of leading and executing on critical business initiatives on-time and within budget.
Demonstrated ability to drive change and work effectively across business and geographical boundaries.
Superior decision-making, client relationship, and vendor management skills.
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.
Eligibility Criteria:
Bachelor's degree in a quantitative field (such as Engineering, Computer Science) with 2+ years of Information Technology experience or in lieu of degree 4+ years of Information Technology experience.
Minimum 2+ years of financial services experience
Hands on experience with Big Data platforms such Cloudera, Pyspark, Hive, Oracle and MySQL.
Work Timings: 3 PM to 12 AM IST
(WORK TIMINGS: 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.)
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, PIP)
L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible.
L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
L04+ Employees can apply
Grade/Level: 09
Job Family Group:
Information Technology* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Big Data Bitbucket Computer Science Data analysis Data pipelines Data quality Engineering ETL Hadoop Java Kafka MySQL Oracle Pipelines PySpark Python Redshift Scala Scrum Spark SQL Testing
Perks/benefits: Flex hours Health care Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.