Test Lead

Must haves:

• Extensive experience in:
• Databricks pipeline testing CDC validation Parquet inspection and FHIR JSON
• Relational databases and advanced SQL skills for querying and verifying data
• Data Warehousing Concepts and Data Governance: Awareness of data quality integrity lineage and compliance
• Crafting comprehensive test strategies and plans specific to data projects.

Description

Responsibilities

• Lead the design and development of test strategy plans scenarios scripts or procedures for testing
• Acts as a quality advocate throughout the entire Software Development Life Cycle (SDLC) promoting and implementing shift-left testing practices by embedding quality activities into every phase from requirements gathering to deployment.
• Leads the architectural design development and continuous improvement of robust scalable and maintainable test automation frameworks (e.g. UI API database) using industry-standard tools and programming languages.
• Directs the strategy for test data management encompassing the generation provisioning and anonymization of realistic and compliant test data across diverse environments.
• Mentors coaches and develops the technical and professional skills of QA team members fostering a culture of continuous learning innovation and knowledge sharing.
• Proactively identifies assesses and mitigates quality-related risks throughout the project lifecycle collaborating with stakeholders to prioritize and address potential issues.
• Develops strategies for integrating security testing into the testing lifecycle ensuring adherence to security best practices and compliance requirements.
• Designs and implements testing methodologies tailored for distributed systems.

General Skills

• Experience co-ordinating the test strategy and plan with project managers and others
• Experience writing and reviewing a test strategy for the project and test policy for the organization.
• Experience contributing the testing perspective to other project activities such as development integration testing etc.
• Experience planning the tests - considering the context and understanding the test objectives and risk - including selecting test approaches estimating the time effort and cost of testing acquiring resources defining test levels cycles and planning incident management
• Experience initiating the specification preparation implementation and execution of tests monitor the test results and check the exit criteria
• Experience adapting planning based on test results and progress(tweaking the plan) and take necessary actions to compensate for problems
• Experience introducing suitable metrics for measuring test progress and evaluating the quality of the testing and product.
• Experience providing input to test automation strategy test automation framework roadmap
• Experience selecting tools to support testing and organize any training in tool use for testers
• Experience coordinating usage and assignment of test environment with all stakeholders.
• Experience writing test summary reports based on the information gathered during testing.
• Experience executing full lifecycle software development
• Experience programming well-designed testable efficient code
• Experience creating / producing specifications and determine operational feasibility
• Experience leading / providing guidance to team members
• A team player with a track record for meeting deadlines

Experience and Skill Set Requirements

Technical Skills (75%)

• Ability to perform automated ETL and pipeline testing using Databricks notebooks
• Strong data engineering QA skills including validation of FHIR JSON structures CDC validation and Parquet inspection
• Strong SQL skills to validate data query large datasets and perform complex joins
• Experience with database management systems (e.g. SQL Oracle) and data formats (e.g. XML JSON).
• Experience with data validation techniques including data profiling and data quality assessment
• Experience with data modeling and data warehousing concepts and methodologies
• Ability to analyze data sets to ensure data quality and integrity
• Understanding of data governance and compliance standards related to data handling.
• Experience with manual and automated testing processes and tools
• Experience with functional testing of large scale enterprise systems undergoing transformation or being built from scratch
• Experience in developing automated test scripts using different tools such as Selenium
• Experience with designing developing and maintaining test cases based on industry best practices and standards
• Experience with manual test execution and defect reporting testing of various types of integration technologies
• Experience with Azure DevOps test management tools for tracking testing activities
• Knowledge of Agile methodology and ceremonies
• Experience with AODA testing

Leadership and communication: 25%

• Good team collaboration documentation problem solving and communication skills
• Excellent leadership and team management skills to oversee QA activities.
• Strong communication skills to convey data quality issues and solutions to stakeholders.
• Ability to collaborate with cross-functional teams to ensure data quality standards are met.
• Strong analytical and problem-solving skills to identify data quality issues and trends.
• Ability to develop and implement data quality metrics and KPIs.