QA Engineer - Data Science & Engineering

About Credit Saison India
Established in 2019, CS India is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population.
Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings.
Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people.
Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact.
Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people.
Based in Singapore, over 1,000 employees work across Saison’s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil.
Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. 

Credit Saison is looking for an QA Engineer / ETL Tester with 2-5 years . This role will help in improving the quality of the Data and develop automation routines within the existing data lake and related applications. The goal is to provide quality data to the teams that can be used for dashboards, analytics, implementation of various new functionalities and other such use cases.

Roles & Responsibilities:

• Validate data pipelines to ensure accuracy of data across different stages 

• Work with developers, data scientists and product owners to identify testing requirements, test strategies, and test plans. 

• Validate quality of data in different tables and schemas of our system Identify Edge case scenarios and prepare test plans,

• Work closely with the QA team for achieving QA roadmap goals and objectives.

• Design and implement unit and integrations tests by applying statistical concepts covering machine learning models with a variety of data sets

• Create simulated dataset replicating real-world scenarios

• Create detailed, comprehensive and well-structured test suites using programming languages such as Python or Java

• Track quality assurance metrics

• Evaluating system performance and design, as well as its effect on data quality.

• Running data queries to identify coding issues and data exceptions, as well as cleaning data.

• Documenting processes and maintaining data records.

• Adhering to best practices in data analysis and collection.

• Keeping abreast of developments and trends in data quality analysis.

Required skills & Qualifications:

• Bachelor's degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) and work experience  with 2-5 years experience in a QA for data science and analytics related profile for an internet company

• Must have a good understanding of Manual Testing concepts , API Testing. 

• Must have knowledge on different aspects of data such as data transformations, data validation ,data integrity etc. 

• Should  be able to understand and handle large datasets from different sources.

• Should have good knowledge of functional testing, system testing, integration testing and regression testing 

• Should have good knowledge on running SQL query across multiple tables and schemas. 

• Experience with GIT source control system. Willing to learn and contribute in developing different automation frameworks for the team. 

• Communicates clearly to technical and non-technical audiences

• Understanding of Data Science/Machine Learning models with exposure to testing ML/AI based software and data output.

• Strong in problem solving. Good to have exposure to Web services development and highly scalable distributed applications.

• Working knowledge of testing based on Hadoop, Map Reduce, Spark, NoSQL Cassandra etc.

• Exposure to any programming language (Java, Python, Golang).

• AWS fundamentals and practical exposure to AWS environment 

• Experience on performance testing tools such as Jmeter, blazemeter, load runner ,locust etc.