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4 Google Guice Jobs

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4.0 - 8.0 years

0 Lacs

noida, uttar pradesh

On-site

The Full Stack Engineer will be responsible for designing, implementing, and testing Java and Javascript code for our flagship Optimize Spend product, ensuring high performance and responsiveness. This role involves close collaboration with Product Management and Client Success teams to address product enhancements and resolve issues. The ideal candidate will take ownership of their code from development through deployment, contributing to continuous improvement. Experience with Agile methodologies and a proactive problem-solving approach is essential. Requirements Backend - Java 8 (Core backend language) - JAX-RS (REST API annotations like @Path, @GET, @POST) - Spring Boot - Spring Batch - Spring Data JPA - Google Guice - GWT (Google Web Toolkit) legacy components Database & Persistence - JPA (Java Persistence API, referenced in DbJpaServiceLocator) - SQL (Database layer) Build & Package Management - Maven/Ant (Build tools) - NPM (JavaScript package manager) Frontend - JavaScript (Client-side scripting) - Angular 17 - AG-grid (angular) - Isomorphic grid (javascript) Job responsibilities - Design, develop, and maintain software products, contributing high-quality code as a key member of the development team. - Participate in the full Software Development Life Cycle (SDLC), including requirements analysis, system design, coding, testing, and deployment. - Work independently on complex and critical tasks, exercising independent judgment and providing innovative solutions to meet business needs. - Troubleshoot and debug software issues, identify root causes, and implement effective fixes to ensure system reliability and performance. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.,

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10.0 - 15.0 years

0 Lacs

delhi

On-site

As a seasoned data engineering professional with 10+ years of experience, you will lead and mentor a team of data engineers to ensure high performance and career growth. Your primary responsibility will be to architect and optimize scalable data infrastructure, guaranteeing high availability and reliability. Additionally, you will drive the development and implementation of data governance frameworks and best practices, collaborating closely with cross-functional teams to define and execute a data roadmap. Your expertise in backend development using languages like Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS will be crucial. Proficiency in SQL, Python, and Scala for data processing and analytics is a must. In-depth knowledge of cloud platforms such as AWS, GCP, or Azure is required, along with hands-on experience in big data technologies like Spark, Hadoop, Kafka, and distributed computing frameworks. You will be responsible for ensuring data security, compliance, and quality across all data platforms while optimizing data processing workflows for performance and cost efficiency. A strong foundation in High-Level Design (HLD) and Low-Level Design (LLD), as well as design patterns, preferably using Spring Boot or Google Guice, is necessary. Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery will be beneficial. Your role will also involve working with NoSQL databases such as Redis, Cassandra, MongoDB, and TiDB, as well as familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK. Proven ability to drive technical strategy aligned with business objectives, strong leadership, communication, and stakeholder management skills are essential for this position. Candidates from Tier 1 colleges/universities with a background in product startups and experience in implementing Data Engineering systems from an early stage in the company are preferred. Additionally, experience in machine learning infrastructure or MLOps, exposure to real-time data processing and analytics, and interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture will be advantageous. Prior experience in a SaaS or high-growth tech company will be a plus. If you are a highly skilled data engineer with a passion for innovation and technical excellence, we invite you to apply for this challenging and rewarding opportunity.,

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5.0 - 9.0 years

0 Lacs

maharashtra

On-site

You should have at least 5+ years of relevant experience in object-oriented application building in a professional setting. Your responsibilities will include owning one or more modules, planning and executing development and deployment of system features, and recommending software solutions for financial needs. Additionally, you will be developing modules, conducting design and code reviews, and delegating coding tasks to junior Java developers. It is essential to have a deep understanding of relational databases like MySQL, strong coding skills in Java, and familiarity with Agile/Scrum development cycles. You will also need to possess excellent communication skills, the ability to work independently or in a team, and a good grasp of design patterns and Object-Oriented Programming principles. Knowledge of HTML, Javascript, GWT, Google Guice, and MongoDB is desirable, along with experience working with REST APIs, AJAX, and asynchronous programming. Exposure to Cloud Ecosystems, particularly AWS, and the Finance domain will be beneficial. A strong foundation in Mathematics and Statistics, preferably with a BE or BTech degree or equivalent, is preferred. The salary package offered is as per industry standards. If you meet the above requirements and are proficient in the mentioned skills and qualifications, we encourage you to apply for this position.,

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10.0 - 15.0 years

0 Lacs

delhi

On-site

You are looking for a Senior Data Architect to join the team at Wingify in Delhi. As a Senior Data Architect, you will be responsible for leading and mentoring a team of data engineers, optimizing scalable data infrastructure, driving data governance frameworks, collaborating with cross-functional teams, and ensuring data security, compliance, and quality. Your role will involve optimizing data processing workflows, fostering a culture of innovation and technical excellence, and aligning technical strategy with business objectives. To be successful in this role, you should have at least 10 years of experience in software/data engineering, with a minimum of 3 years in a leadership position. You should possess expertise in backend development using programming languages like Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS. Proficiency in SQL, Python, and Scala for data processing and analytics is essential, along with a strong understanding of cloud platforms such as AWS, GCP, or Azure and their data services. Additionally, you should have experience with big data technologies like Spark, Hadoop, Kafka, and distributed computing frameworks, as well as hands-on experience with data warehousing solutions like Snowflake, Redshift, or BigQuery. Deep knowledge of data governance, security, and compliance, along with familiarity with NoSQL databases and automation/DevOps tools, is required. Strong leadership, communication, and stakeholder management skills are crucial for this role. Preferred qualifications include experience in machine learning infrastructure or MLOps, exposure to real-time data processing and analytics, and interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture. Prior experience in a SaaS or high-growth tech company would be advantageous. Please note that candidates must have a minimum of 10 years of experience to be eligible for this role. Graduation from Tier - 1 colleges, such as IIT, is preferred. Candidates from B2B Product Companies with High data-traffic are encouraged to apply, while those who do not meet these criteria are kindly requested not to apply.,

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