Staff Software development Engineer in Test
2 weeks ago
Essential Duties & Responsibilities
Test Strategy & Framework Development
- Architect and implement end-to-end automated testing frameworks tailored for data lakes, warehouses, and ETL pipelines.
- Develop comprehensive test plans, including functional, integration, regression, performance, and security testing, for big data systems.
- Define and implement data quality checks, data validation processes, and monitoring pipelines to ensure system reliability.
Leadership & Mentorship
- Act as a technical leader by mentoring Senior SDETs and Junior SDETs on best practices, advanced testing methodologies, and innovative approaches to quality assurance.
- Provide guidance on complex data testing scenarios, debugging strategies, and the adoption of emerging testing tools and techniques. Performance Optimization
- Establish testing KPIs to measure the performance, reliability, and scalability of data pipelines and applications.
- Identify and address bottlenecks in data processing and transformation workflows through rigorous performance testing.
Collaboration & Communication
- Collaborate with data engineers, product managers, and DevOps teams to ensure testing efforts align with business and technical goals.
- Participate in cross-functional design discussions to proactively identify quality risks and advocate for testable and maintainable system designs.
- Communicate test strategies, progress, and results effectively to stakeholders, including non-technical audiences.
Innovation & Continuous
- Improvement Research, evaluate, and implement cutting-edge tools and technologies to improve testing efficiency, coverage, and reliability.
- Champion a culture of quality by introducing innovative testing methodologies and fostering collaboration across teams. Operational Responsibilities
- Support production environments by monitoring data quality and addressing on-call issues during critical escalations.
- Partner with DevOps teams to enhance CI/CD pipelines, ensuring smooth integration of automated tests and deployments.
Required
- 10+Yeears of development /Testing experience.
- Extensive Programming Expertise: Mastery of Python, SQL, and other scripting languages for building advanced testing tools and frameworks.
- ETL Testing Tools: In-depth knowledge of ETL testing tools such as Pytest, PyDeequ, Soda, Great Expectations, and AWS Glue Data Quality.
- Big Data Expertise: In-depth knowledge of big data tools like Apache Spark, Kafka, and Airflow, with experience testing and validating large-scale data pipelines.
- Cloud Platforms: Advanced expertise with AWS big data services Glue and Airflow including hands-on experience designing and testing cloud-based data solutions.
- Report Tools: Hands-on experience with reporting and visualization tools such as Amazon QuickSight, Tableau, or Power BI, with the ability to validate report accuracy and integrity.
- Data Governance: Strong understanding of data governance principles, including privacy, security, and compliance best practices.
- Data Streams: Deep expertise in streaming technologies such as Kafka, Kinesis, or equivalent, with experience testing real-time data pipelines.
- DevOps Integration: Expertise in CI/CD processes, infrastructure as code, and containerized deployment using tools like Docker, Kubernetes, and Jenkins.
- Excellent problem-solving and debugging skills for resolving complex technical issues.
- Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and lead cross-functional initiatives.
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