It is the largest data, analytics, automation, and decisioning solution provider to FIs, catering to the entire lending lifecycle from onboarding to diligence & monitoring to collections.

Their solutions enable systemic fraud prevention, risk management, compliance & automation through superior data engineering and deep tech applications.

What your average day would look like
? Building an End to End Data Warehouse strategy and test plan
? Experience working on multiple ETL projects comprising schema check, data completeness validation,
validating business rules, counts and duplicate checks, archival checks, data replication and masking, data
transformation and validation.
? Be an individual contributor capable of taking up tasks from start to end with minimal assistance
? Experience in one general purpose programming language such as Java, Python, etc
? Knowledge of SQL and Data Frame programming
? Ensure comprehensive test coverage by working closely with the product and engineering teams to
prioritise testing execution and report on test execution progress and results
? Create and execute test cases for applications that use ETL components.
? Promote QA productivity through automation, tools, and other best practices.

What you need to work with us
? Experience in one or more of the languages Java or Python etc
? Experience in Banking and Financial domain is required.
? Knowledge of a subset of non-relational databases such as MongoDB, Cassandra, Elasticsearch, etc.
? Strong knowledge of QA methodology and tools.

Experience and Qualification
? 1-2 yrs. experience
? B.Tech/M.Tech/MCA/ B.Sc. in Computer Science /IT Degree from a good Institute