Selecting and integrating Data tools and frameworks required to provide requested capabilities.
•    Technical guidance for software engineers engaged in the design, coding, reviewing, and testing of enterprise software
•    Collaborate with Data Scientists, Data Engineers, and Software Engineers to understand data and models to develop QA tests to validate.
•    Implementing ETL process
•    Monitoring performance and advising any necessary infrastructure changes
•    Defining data retention policies
•    Collaborate with the Recruitment team for Hiring
Desired Skills and Experience
•    Experience creating detailed and comprehensive test suites using programming languages such as Python
•    Experience writing complex SQL queries to extract or validate data
•    Good understanding of Big Data concepts and NoSQL DB preferable,
•    Proficient in writing Hive QL and Spark QL queries
•    Should have hands-on experience in Data testing tools like DBT, iCEDQ, QuerySurge, Denodo, informatica etc.
•    Good Understanding on QE Testing types for testing Data quality.
•    Troubleshooting the application and rectifying the problem in an earlier stage. Involved in defect life cycle management.
•    Ability to test software & get UAT done from business users in Agile manner
•    Continuous automation to increase test coverage and efficiency
•    Proactive & reactive support in deployments & production environment
•    Hands on experience in Linux or Unix
•    Good debugging skills 
•    Ability to solve any ongoing issues with operating the cluster
•    Experience with integration of data from multiple data sources
•    Experience with BI tools like PowerBI and Tableau is a plus
•    Experience with various messaging systems, such as Kafka or RabbitMQ
•    Strong analytical and excellent communication skills.

 

Fully Remote and Domestic Shift