Exp Required: 8
Product Engineer
Skills Required Digital: Python Digital: Docker Java API Management \& Microservices Digital: Data-bricks:Angular 13+
Job Description: Job Description Develop and maintain backend systems using Python, Spark en-suring high performance, scalability, and reliability Participate in the design and implementation of data engineering and ETL pipelines using PySparkCollaborate with cross-functional teams to identi-fy and prioritize project requirements Mentor and guide engineers, providing technical guidance and code reviews Stay up-to-date with the latest technologies and frameworks, and apply this knowledge to improve existing systems and processes Lead the technical direction of the team, including architecture, design, and implementation of software systems Collaborate with product owners to define and prioritize requirements Develop and maintain technical documentation, in-cluding architecture diagrams, and technical specifications Participate in code reviews, ensuring high-quality code and adherence to coding standards Collaborate with DevOps and Operations teams to ensure smooth deployment and operation of applications Expert in DevOps practices and tools for CICD pipelines.
Willingness to learn new technologies and adapt to new challenges Proven experience in leading technical teams, including technical guidance, mentoring, and coaching.
Strong technical leadership skills, including the ability to make technical decisions, prioritize tasks, and manage technical resources Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Ability to drive technical innovation, including re-searching new technologies, evaluating technical options, and recommending technical solutions Strong problem-solving skills, with the ability to debug complex issues, optimize system perfor-mance, and ensure high-quality software delivery
Experience with Agile development methodolo-gies, including Scrum or Kanban, and the ability to apply these principles to lead the team Experi-ence with cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)Experience with Spark for Data Engineeringly pipelines Familiarity with con-tainerization using Docker and orchestration using Kubernetes
Experience in full-stack development with a strong portfolio showcasing successful projects. Solid understanding and hands-on experience with RESTful APIs and asynchronous request handling. Working knowledge of the Java programming language and supporting frameworks such as Spring, Spring Boot, and Spring Cloud.
Proficiency in building data services and managing application state using NGXS/GRX or similar. Proficiency in HTML, CSS, JavaScript, and related front-end technologies – Angular, NodeJS, etc. Experience in building end to end data pipelines on AWS/Azure and/or Databricks.
Proven hands-on experience in containerization – Docker, Kubernetes, OpenShift etc.
Experience with Linux and Windows; DB2 client/server