You will
- Responsible for developing & building testing strategy to validate Data Lakehouse functionality & data quality at scale.
- Build monitors using SQL for Data Lakehouse for observability.
- Work closely with cross-functional teams to understand customer requirements and develop use case scenarios for testing new features.
- Responsible for establishing new tools & QE methodologies across the QE organization.
- Actively participate and provide technical inputs during the product development cycle.
- Develop and enhance the REST API/UI automation framework, write and review testing code, debug failures, and integrate applications with third-party web services.
- Develop scalable back-end components to improve application performance.
- Responsible for mentoring other team members & grooming the team from scratch.
You are
- Able to take on very complex problems, learn quickly, iterate, and persevere toward a robust solution
- Familiarity with Apache Spark, Apache Kafka, and Apache Airflow.
- Product-focused and passionate about building truly usable systems
- Collaborative and comfortable working across teams including data engineering, front end, product management, and DevOps
- Responsible and like to take ownership to improve user experience
- A good communicator, and facilitates teamwork via good documentation practices
- Comfortable with ambiguity and thrive in designing algorithms for evolving needs
- Intuitive in using the right type of models to address different product needs
- Curious about the world and your profession, constant learner
- Able to work in a startup environment, optimized for high-velocity feature delivery
You Have
- 15+ years of product quality & automation experience
- Bachelor's degree in Computer Science, Engineering or related field
- Expertise & experience in testing Data warehouse and/or Data Lakehouse.
- Strong SQL Knowledge.
- Strong experience and knowledge of micro-services, distributed systems, and performance optimizations
- Knowledge of Aws/Azure/GCP native services & ecosystem.
0 applies
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