Principal Engineer (Big Data)

Job Description

We're Nagarro , We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! REQUIREMENTS: Total experience 13+years. Hands-on experience in big data engineering and data architecture. Strong working knowledge with Google Cloud Platform services. Strong working experience in Google Big Query, Google Cloud Storage, Cloud Dataflow, Cloud Composer, and Dataproc. Advanced proficiency in Python and SQL for data engineering and automation. Solid understanding of data modelling, data warehousing, and distributed computing frameworks like Apache Spark. Deep knowledge of data governance, security controls, and regulatory compliance within cloud ecosystems. Strong leadership, problem-solving, and communication skills to drive technical direction and stakeholder engagement. Experience working in agile development environments. Strong communication and coordination skills to work with cross-functional and globally distributed teams. RESPONSIBILITIES: Writing and reviewing great quality code. Understanding the projects functional and non-functional requirements and the business context of the application being developed. Understanding and documenting requirements validated by the SMEs Interacting with clients to identify the scope of testing, expectations, acceptance criteria and availability of test data and environment. Working closely with product owner in defining and refining acceptance criteria. Preparing test plan/strategy Estimating the test effort and preparing schedules for testing activities, assigning tasks, identifying constraints and dependencies Risk management identifying, mitigating and resolving business and technical risks. Determines the potential causes of problems and analyses multiple alternatives. Designing and developing a framework for automated testing following the project's design and coding guidelines. Set up best practices for test automation. Preparing test reports to summarize the outcome of the testing phase and recommending whether the application is in a shippable state or not Communicating measurable quality metrics, with the ability to highlight problem areas and suggest solutions Participating in retrospective meetings, helping identify the root cause of any quality related issue and identifying ways to continuously improve the testing process Conducting demos of the application for internal and external stakeholders Reviewing all testing artifacts prepared by the team and ensuring that defects found during the review are tracked to closure Working with team and stakeholders to triage and prioritize defects for resolution Giving constructive feedback to the team members and setting clear expectations