Senior Test Automation Engineer (Python)

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We have an opportunity for a Sr. Test Automation Engineer to develop and manage test automation frameworks for a variety of applications (ETL, Data ingestions, Cloud platform, DBs) within our Data tribe. You will work within the Data tribe comprised of Software Engineers, Data Engineers, Cloud Engineers and Data Scientists whose primary focus is to design and develop innovative technology solutions for a variety of internal stakeholders. We are looking for an enthusiastic and curious individual, who can think creatively to solve problems and meet user requirements. You must have a keen interest in testing and quality assurance, applying shift-left, test-first principles with hands on experience of automating testing, designing, and implementing testing automation frameworks. As we work within the Scaled Agile framework, we are looking for someone who can work both independently and as part of a team within a fast-paced and changing environment. This requires an individual who can deliver to agreed timelines, communicating effectively, and thinking innovatively. Experience of working in an integrated team, refining and prioritising a backlog and delivering in an Agile methodology is a must. 🔹 Required Technical Skills & Experience - Recent 5+ years of hands-on experience in Test Automation framework using Python and BDD preferably Behave or Cucumber tools. (Must Have) Proficient in Python fundamentals. Experience in python data structure like List, dictionary, set, tuple etc. Proficient in file handing including read/write (CSV, JSON, XML etc.) Proficient in Python error handling, logging, and debugging skills. Strong in Python packages like Pandas, DBs, API Requests etc. Hands-on experience in usage of GCP SDKs & APIs. Proficient in API Test Automation. Proficient in automating Flat files(Json, csv, binary etc.) operations like read, extract, reconciliation & validations throughout the ETL processes. Recent 5+ years of hands-on experience in Data Ingestion/ETL testing. (Must Have) Understanding around databases like SQL/PostgreSQL/Oracle, GCP(Big Query, Bigtable etc.) Understanding around schema-based ingestions and schema contracts/definition tools like Swagger or similar. Hands-on experience in data reconciliation and transformation validations during ETL/Data ingestions within GCP. Hands-on experience with Cloud Technologies, preferably Google Cloud Platform (GCP) / Azure. (Must Have) Experience working in cloud-based CI/CD pipelines, preferably Azure DevOps. (Must Have) Experience of working in cloud-based git repositories. (Must have) Experience in Non-Functional testing including performance, Security with ETL/Data exposure and tool like JMeter, SonarQube, JFrog or similar. (Must Have) Experience with API or data mocks/stubs using tools like Wiremock or similar. (Must Have) Experience and understanding Agile model delivery and align to agile ceremonies. (Must Have) Experience in any Test management tool, preferably Jira & zephyr. Must Have) Experience in Fintech industries (e.g., Insurance, Finance or similar). (Must Have) Experience in Terraform deployments. (Nice to Have) Experience of unit testing. (Nice to Have) Experience in Test Automation using Selenium and Java. (Nice to Have) Exposure to cloud-based test environments. (Nice to Have) Test Automation and Cloud Certifications or similar. (Nice to Have) 🔹 Behavioural Skills (Must Have) Effective Communication Clear articulation of technical and non-technical issues, active listening, and the ability to tailor messages to different audiences are essential Collaboration & Teamwork Demonstrates empathy, supports peers, and fosters a psychologically safe environment. Maintains strong relationships across squads and disciplines Adaptability & Resilience Responds constructively to change, especially when requirements shift mid-sprint. Shows composure under pressure and adjusts priorities as needed Proactive Problem Solving Anticipates blockers, raises risks early, and contributes to root cause analysis and resolution planning Continuous Learning Embraces new tools, frameworks, and methodologies (e.g. AI, GCP, CI/CD) and shares learnings with the wider QA community 🔹 Leadership Skills (Must Have) Technical Ownership & Vision Leads the creation of scalable, reusable, and maintainable test automation frameworks using OOPs, SOLID principles, and design patterns. Champions best practices in coding and testing Mentorship & Coaching Supports junior engineers, encourages growth, and facilitates knowledge transfer Strategic Thinking Demonstrates strategic awareness by aligning test automation efforts with QA objectives and product priorities. Contributes to sprint and release planning by identifying quality risks early and proposing test strategies that support timely, high-quality delivery. Decision-Making & Accountability Takes ownership of quality outcomes, drives prioritisation of quality improvements, and makes data-informed decisions using Q

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