Lead and execute the successful strategy for delivery of analyses and analytic solutions to meet BOLT customers’ needs
Interact directly with high-level stakeholders, end-users, and colleagues
Create and implement test cases for end-to-end data warehouse and data lake solutions
Create and implement test cases for Tableau dashboards
Contribute on automating the testing cycle and improving the testing cycle overall
Contribute and create a motivated work environment within the team
Mentor internal development team and promote opportunities
Requirements:
Bachelor’s degree in fields of Computer Science, Statistics or an equivalent
Should have minimum of 3 years of experience with software and data quality assurance
Should have expertise in Python and API testing
Should have expertise in end-to-end data testing, deploying best practices & methodologies
Should have proficiency in writing SQL queries, stored procedures, functions, triggers
Should have exposure to SQL and No-SQL databases.
Should have experience in Python , API testing for big data systems, data lakehouse, analytical reporting
Should have knowledge of data warehousing concepts – dimensional modelling, CDC, others. Should be able to write test cases across the complete data lifecycle – data quality, metadata, transformations, control logics
Knowledge of programming languages such as Java, Python is a plus
Should have experience in testing based API’s.
Should be innovative in approach to writing and executing test cases. Knowledge of automation and orchestration of test cases is a big plus.
Should be comfortable working with TFS, JIRA, etc. Knowledge with integrating pipelines with TFS/JIRA is a big plus.
Should have experience in deploying workloads in production environment, troubleshooting defects, improving performance.
Should be comfortable adapting to new technologies, working with multiple teams.
Should possess good communication skills and ability to interact with stakeholders