BigData QA Automation Test Engineer - Spark, Scala, AWS

Job description

Job Description Purpose of the role To design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability. Accountabilities Development and implementation of comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards. Creation and execution automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues. . Collaboration with cross-functional teams to analyse requirements, participate in design discussions, and contribute to the development of acceptance criteria, ensuring a thorough understanding of the software being tested. Root cause analysis for identified defects, working closely with developers to provide detailed information and support defect resolution. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us as a BigData Quality Analyst - Spark, Scala, AWS at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. To be successful as a BigData Quality Analyst - Spark, Scala, AWS, you should have experience with: Strong software testing experience in Datawarehouse and Big Data applications. Experience in working with Big data tools like Spark with different data formats like JSON, Parquet, CSV. Experience in developing Jupyter Notebooks using Scala-Spark or PySpark. Exposure to AWS Cloud Services. Strong understanding of ETL processes, data validation techniques and data analysis. Proficiency in writing complex SQL for data analysis and validation. Experience in test management and defect tracking using JIRA. Ability to work collaboratively in Agile or DevOps environments. Some other highly valued skills may include: Experience in Unix/Shell Scripting or Python. Exposure to Investment Banking domain. Excellent communication and collaboration skills. Ability to learn new tools and technologies quickly. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. The role is based out of Pune.