Versioning Jobs in Bengaluru

Key Responsibilities: Develop and support test generation frameworks for SoC system validation, focusing on Linux-based and Clang/LLVM-based compiler frameworks. Design and implement Linux kernel modules, device drivers, and compiler extensions to support SoC flows, including coherency, PCIe, power management, and security. Enable post-Si validation stress and shift-left validation to improve Time to Market (TTM) for Intel products. Collaborate with internal customers from validation teams to develop solutions utilizing your knowledge of computer system architecture. Design and implement solutions that simplify test content writing and reuse. Ensure the validation of SoC capabilities on pre/post-Si platforms. Participate in Agile development cycles to ensure efficient product delivery and quality. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering. Minimum of 3 years of experience (B.Tech) or 2 years (M.Tech) experience with C/C++ programming and Object-Oriented Programming (OOP). At least 2 years of experience with computer system architecture. Self-initiated and a strong team player, comfortable working in an Agile project environment. Preferred Qualifications: Experience with PC bus protocols and industry-standard I/O interfaces (PCIe, USB, DP, HDMI, etc.). Familiarity with GIT revision control systems. Experience with compilers and compiler toolchains. Experience with Linux or Windows device drivers. Knowledge of makefile build environments and scripting languages. Experience in developing or using validation tools would be highly valuable. About Intel Validation Engineering (iVE) Team: Intel Validation Engineering (iVE) plays a critical role in Intel's product leadership. Our team validates, debugs, and tunes Intel's newest designs and world-changing technologies. We are essential in completing the PRQs (Product Readiness Qualifications) for Intel products, ensuring Intel's ability to deliver the annual technology platforms in our roadmap. Equal Opportunity Employer: Intel is committed to ensuring that all qualified applicants receive consideration for employment without discrimination based on race, color, religion, creed, sex, national origin, ancestry, age, disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, sexual orientation, or any other characteristic protected by law. If you're passionate about developing cutting-edge frameworks for SoC validation and eager to contribute to world-class technology, we encourage you to apply. Qualification : Bachelors or Masters in Computer Science Computer Engineering or Electrical Engineering

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Mobile App and Observability SDK Engineer Experience: 3 6 Years Location: Bengaluru About VuNet VuNet is a pioneer in Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our cutting-edge platform offers end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and superior user satisfaction. With over 28 billion digital transactions monitored monthly touching 400 million users worldwide we re already powering leading banks and financial institutions across India and MEA. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized globally by analysts like Gartner and Omdia. Your Role: Mobile App and Observability SDK Engineer At VuNet, the Product Development Team is dedicated to delivering exceptional customer experiences through scalable products. We are looking for a Mobile App and Observability SDK Engineer to join this team. In this role, you ll be at the forefront of building high-quality mobile applications and advancing our Mobile Real User Monitoring (MRUM) initiatives. You ll capture and translate mobile performance data into actionable insights, helping improve the performance and user experience of mobile apps across various platforms. If you re passionate about mobile engineering, user experience, and observability this role offers a unique opportunity to merge these interests into a groundbreaking solution. Roles & Responsibilities Mobile Application Development: Design, develop, and maintain robust, high-performance mobile applications for iOS and Android using Swift, Kotlin, Flutter, or React Native. Testing & Quality Assurance: Implement unit, integration, and UI testing strategies to ensure the app s quality, stability, and regression coverage. Debugging & Profiling: Identify and resolve performance bottlenecks, ANRs, crashes, and memory leaks using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analysis & Reporting: Integrate crash analytics tools and develop efficient incident tracking and resolution workflows. Performance Monitoring & Insights: Leverage telemetry, profiling, and analytics data to enhance app performance, responsiveness, and overall user experience. Observability Collaboration: Work with SRE and backend teams to export performance metrics, logs, and traces from mobile clients into centralized observability platforms. Code Quality: Write clean, modular, and well-documented code, adhering to best practices in mobile development and SDK maintenance. What You Bring Mandatory Skills: Mobile App Development: 3+ years of hands-on experience in mobile app development using Flutter, React Native, Swift, or Kotlin (experience in at least two of these). App Lifecycle & Performance: Strong understanding of mobile app lifecycle, UI rendering, asynchronous processing, state management, and performance optimization (ANRs, memory management, network latency). Debugging & Profiling Tools: Proficiency in debugging, profiling, and testing mobile applications using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analytics: Experience integrating and using crash analytics and reporting tools. CI/CD & SDK Versioning: Familiarity with CI/CD pipelines, automated testing, and SDK versioning. Performance Instrumentation: Interest in observability, monitoring, and performance instrumentation with a willingness to learn OpenTelemetry and RUM concepts. Problem-Solving Mindset: Strong analytical and debugging skills, focused on enhancing performance and reliability. Nice-to-Have Skills: OpenTelemetry & SDKs: Exposure to OpenTelemetry SDKs or other instrumentation frameworks for capturing telemetry data (e.g., traces, metrics, logs). Mobile Observability: Familiarity with mobile observability backends. Session Replay & Mobile Analytics: Knowledge of session replay, user behavior tracking, or mobile analytics SDKs. SRE & Monitoring Practices: Understanding of SRE principles, monitoring best practices, and golden signals. Open Source Contributions: Contributions to open-source SDKs or mobile performance tools. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. We re just getting started, and we re looking for people like you to join us in tackling some of the most complex challenges in the digital world. Our team is filled with passionate problem-solvers who thrive in a collaborative, fast-paced environment. We embrace continuous learning, adapt quickly, and stay ahead of emerging technologies like Gen AI. If you re looking to work on cutting-edge technology, make a real impact, and grow with a supportive team, you ll feel right at home here at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. A transparent, inclusive, and high-trust workplace culture. Access to Gen AI and integrated technology workspaces. Supportive career development programs to expand your skills with various training opportunities.

Job Title: Software Architect C++ Location: Bengaluru Overview: We are looking for a highly experienced Software Architect C++ to lead the architectural design, development framework setup, and standardization of scalable, modular, and maintainable software systems. This role is critical in shaping the foundation of distributed software development, guiding engineering practices, and driving performance and quality across the software development lifecycle. Key Responsibilities: Architectural Framework & Project Setup: Define the overall software architecture with a focus on scalability, modularity, and maintainability. Establish the development framework for distributed teams to ensure consistent and efficient collaboration. Standards & Guidelines: Design and enforce coding standards, architectural patterns, and review processes across the lifecycle. Assess and improve software architecture regularly through structured reviews and audits. Tools & Platforms: Select and configure toolchains, platforms, and APIs for the full development process, including: Visual Studio IDE setup Continuous integration Multi-threaded debugging Licensing management Cross-language integration Dependency management and bundling Development Templates & Architecture: Create C++ project templates for service architecture, API structure, and state machine design. Architect and implement solutions for parallel/threaded programming and performance debugging. Team Enablement & Training: Train and mentor development teams on advanced debugging techniques, threading models, and performance optimization in C++. Dependency & Versioning Systems: Design and manage a comprehensive dependency architecture with robust version control mechanisms. Release & Licensing Management: Develop systems for release management and define protocols for API/library licensing and compliance. Testing & Profiling: Design and implement test frameworks for integration, distribution, performance profiling, and safety compliance. Requirements: Proven experience as a Software Architect or Principal Developer with expertise in C++. Strong understanding of distributed systems, multi-threaded development, and large-scale software design. Hands-on experience with Visual Studio, CI/CD pipelines, debugging tools, and API management. Familiarity with modern development practices, dependency/version management, and licensing mechanisms. Excellent communication skills and the ability to lead and mentor engineering teams.

Technical Architect (.NET) | 10 12 Years Experience | Bangalore (Onsite) Location: Bangalore (Work from Office) Experience: 10 to 12 Years About the Role We are seeking an experienced Technical Architect with a strong background in .NET technologies to lead the design and architecture of scalable web-based applications. The ideal candidate will possess extensive experience in Microsoft technology stacks, a deep understanding of software architecture principles, and proven leadership in guiding development teams. This role is critical in driving the technical vision for our innovative real estate ERP platform, In4Suite . Key Responsibilities Lead the technical architecture, design, and implementation of web applications using ASP.NET, C#, and SQL Server. Drive end-to-end architectural decisions aligned with business goals for web-based product development. Oversee release management processes ensuring smooth and reliable software deployments. Utilize Microsoft Team Foundation Server (TFS) or equivalent tools for source control and versioning. Implement design patterns such as the Facade Pattern to ensure clean, maintainable code. Collaborate with cross-functional teams including development, QA, and product to ensure technical feasibility and project success. Mentor and provide technical guidance to developers and engineers. Stay abreast of emerging technologies, recommending innovative solutions to enhance product performance and scalability. Champion continuous improvement initiatives to optimize software development practices and methodologies. Required Skills & Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field. 10+ years of experience in software development with a strong focus on .NET architecture. Proficient with Microsoft technologies: ASP.NET, C#, SQL Server. Hands-on experience with source control tools such as TFS, Visual SourceSafe, or CVS. Strong knowledge of database concepts, SQL, web services (SOAP/REST, XML), remoting, and RDBMS (preferably SQL Server). Expertise in OOAD (Object-Oriented Analysis and Design), UML, and software design patterns. Experience in Build & Configuration Management is a plus. Knowledge of ASP Classic, VB 6.0, Crystal Reports, and ERP systems is advantageous. Microsoft certifications preferred. Excellent problem-solving, communication, and leadership skills. Company Culture & Values Positive, collaborative approach to teamwork with a willingness to support peers. Effective verbal and written communication to express ideas clearly and respectfully. Commitment to a team-first mindset valuing we over me. Growth-oriented attitude with a dedication to continuous learning and skill enhancement. Benefits Flexible working hours to support work-life balance Opportunities for continuous learning and professional development Comprehensive medical and insurance benefits About In4Velocity Since 2004, In4Velocity has been a trusted partner for real estate, construction, and infrastructure companies, transforming their operations through innovative technology solutions. Our flagship product, In4Suite , is a unified software platform providing a comprehensive 360-degree view of all real estate processes connecting buy-side, sell-side, and in-house operations seamlessly. With powerful Business Intelligence and global support, In4Suite is the preferred platform for clients worldwide, streamlining real estate development and construction management. Our unwavering commitment to innovation positions In4Velocity as a leader driving progress in the real estate software industry. Apply now to join In4Velocity s visionary technology team! Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field.

Job Title: Node.js Developer Location: Bengaluru, India Type: Full-Time Key Responsibilities Node.js Development: Design, build, and maintain efficient, reusable, and reliable Node.js code using the Express framework. Develop RESTful APIs and integrate them with various front-end systems and third-party services. Microservices Architecture: Design and develop microservice-based systems to ensure scalable and efficient architectures. Implement asynchronous programming models to optimize the performance of applications. Database Design & Management: Work with NoSQL databases like MongoDB to design and implement efficient database schemas that represent and support business processes. Version Control: Use Git for code versioning, ensuring proper collaboration and smooth code management. Agile Development: Participate in Agile development practices, including sprint planning, daily stand-ups, and sprint retrospectives, to contribute effectively to the team. Skills & Qualifications Node.js Expertise: Strong knowledge of Node.js and related frameworks such as Express. Experience with asynchronous programming in Node.js and its quirks. API Design: Proven expertise in designing, developing, and maintaining RESTful APIs. Database: Solid experience working with NoSQL databases like MongoDB. Ability to design scalable and efficient database schemas to support business logic. Version Control: Proficiency in using Git for source code management and version control. Microservices Architecture: Hands-on experience with building and maintaining microservice-based systems. Agile Development: Familiarity with Agile methodologies such as Scrum or Kanban, and experience in an Agile development environment. Problem-Solving Skills: Strong problem-solving ability, including identifying issues and finding solutions in real-time. Collaborative Environment: Work with a talented team and collaborate on innovative projects. Growth Opportunities: Learn and enhance your skills with exposure to cutting-edge technologies. Work-Life Balance: Flexible working hours and a positive work culture. If you are passionate about Node.js, microservices, and building scalable applications, we encourage you to apply and join our dynamic team in Bengaluru!

Job/Position Summary: Data Engineer Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable. Implement best practices including proper use of source control, participation in code reviews, data validation and testing. Timely deliveries while working on projects. Act as advisor/mentor and helps junior data engineers in their deliverables. Must Have Skills: Should have experience of at least 4+ years with Data Engineering. Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment. Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks. Experience in programming at least one of with Python, Java, Scala, Shell Script. Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.). Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline. Experience in working on at least one Cloud (AWS or Azure or GCP). For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR. For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI. For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio. Sound familiarity in Versioning tools (Git, SVN etc.). Experience Mentoring students is desirable. Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics. History of contribution to Open Source. Requirement: ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud

Job Title: Associate Technical Architect Software Development Experience Level: 6+ years Location: Mumbai / Bangalore About Us At Quantiphi, technology drives our business, but our diverse and inclusive culture powers our success. We believe in fostering an environment built on transparency, integrity, learning, and growth all while valuing each individual s unique contribution. If you re excited to work in a collaborative space that encourages innovation and helps you grow both professionally and personally, we would love to have you on board! Role Overview We are seeking a Software Architect with a passion for combining design and programming. In this role, you will translate UI/UX wireframes into functional, high-performance code and shape the visual and technical structure of our applications. You will collaborate closely with designers and developers, ensuring seamless design-to-code translation and optimal user experiences. Key Responsibilities Develop new user-facing features and front-end components. Design and implement scalable, stateless/stateful APIs that integrate with UI, databases, and external systems. Apply industry-standard security best practices across application development. Build reusable code and libraries to drive efficiency. Ensure UI/UX designs are technically feasible. Optimize applications for speed, responsiveness, and scalability. Collaborate closely with designers, developers, and stakeholders to deliver high-quality solutions. Architect cloud-native and scalable applications. Technical Skills Required Strong proficiency in Node.js, Angular, and React.js. Experience with jQuery, JSON, AJAX, RESTful web services. Expertise in JavaScript frameworks/libraries (Node.js, AngularJS, ReactJS, Jasmine, Ember). Proficiency in build tools like Grunt, Gulp, and Bower. Deep understanding of front-end technologies: HTML5, CSS3, JavaScript (ES6+), jQuery. Hands-on experience with client-side MVC frameworks (Node.js, ReactJS, NextJS, Redux, AngularJS). Strong database skills, including data modeling and query optimization (MySQL, PostgreSQL, MongoDB, DynamoDB). Expertise in building secure REST APIs. Understanding of cross-browser compatibility and responsive design. Proficient in code versioning tools like Git. Good knowledge of SEO principles. Strong grasp of front-end frameworks like Bootstrap and Material UI, along with preprocessors like SASS/LESS. Experience in object-oriented design and software design patterns. Excellent debugging and creative problem-solving skills. Leadership & Collaboration Lead technical teams and mentor junior developers to accelerate performance. Drive code reviews and enforce best practices to maintain high code quality. Provide technical thought leadership and introduce best practices to the project. Manage stakeholder expectations and resolve conflicts effectively. Clearly communicate technical concepts to both technical and non-technical audiences. Collaborate across departments (BA, Designers, QA, Architects) to ensure successful delivery. Nice to Have Experience working with cloud platforms like Google Cloud, AWS, Azure. Knowledge of microservices architecture and API gateway integration. Familiarity with design tools such as Photoshop, Illustrator, Figma, Sketch, XD. Experience with containerization (Docker/Kubernetes) and distributed computing. Exposure to Elasticsearch. Hands-on with Agile methodologies, TDD, Pair Programming, and Rapid Prototyping. Experience documenting technical design and processes. Knowledge of Apollo, GraphQL, Moment.js is a plus. Experience with UX/UI design is an added advantage. If you thrive in a fast-paced environment, love solving complex challenges, and enjoy collaborating with passionate teammates, Quantiphi is the place for you!

Job Title: System Software Development Engineer Functional Safety Job Description: The Intel Client Computing Group (CCG) Edge Software division is seeking experienced professionals in system software development for embedded product applications. This role offers an exciting opportunity to be part of a high-impact team responsible for enabling Functional Safety (FuSa) Software/Firmware solutions for Intel Edge platforms. Key Responsibilities: Develop Functional Safety (FuSa) firmware and software solutions as part of the system software development team. Take ownership of specific software/firmware modules, ensuring their compliance with FuSa standards such as IEC 61508 and DO-178C. Conduct unit testing, static and dynamic analysis, and maintain traceability of requirements. Create software collaterals and documentation that meet FuSa standards. Perform integration activities for milestone releases, Best Known Configuration (BKC) updates, and user guide preparation for customer enablement. Qualifications & Requirements: Education: Bachelor's or Master's degree in Computer Science, Electronics, or a related field. Experience: Minimum 5+ years of experience in embedded system software development. Programming Skills: Proficiency in C/C++. Scripting Expertise: Experience with scripting languages such as Python and Perl for test case development. Operating Systems: Strong knowledge of Linux System Software and Real-Time Operating Systems (RTOS). Debugging & Toolchains: Hands-on experience with embedded software debugging tools and code versioning toolchains. Software Development & Integration: In-depth understanding of software development methodologies, integration processes, and source code management systems (e.g., GitHub). Collaboration & Communication: Excellent written and verbal communication skills, with a strong ability to document technical processes effectively. Soft Skills: Strong analytical, organizational, and problem-solving skills, with a proactive, resourceful, and self-motivated approach to work. About the Client Computing Group (CCG): The Client Computing Group (CCG) at Intel drives business strategy and product development for Intel's PC platforms, covering a range of form factors including notebooks, desktops, 2-in-1s, and all-in-one devices. Working closely with industry partners, CCG aims to deliver cutting-edge computing experiences that empower individuals to focus, create, and connect in meaningful ways. As Intel s largest business unit, CCG fuels innovation and advances Intel s mission to enrich lives through technology. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status under local law. Intel offers one of the best total compensation packages in the industry, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Professional development opportunities and career growth support. Qualification : Bachelor's or Master's degree in Computer Science, Electronics, or a related field.

Job/Position Summary Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable Implement best practices including proper use of source control, participation in code reviews, data validation and testing Timely deliveries while working on projects Act as advisor/mentor and helps junior data engineers in their deliverables Must Have Skills: Should have experience of at least 4+ years with Data Engineering Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks Experience in programming at least one of with Python, Java, Scala, Shell Script Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.) Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline Experience in working on at least one Cloud (AWS or Azure or GCP) For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio Sound familiarity in Versioning tools (Git, SVN etc.) Experience Mentoring students is desirable Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics History of contribution to Open Source. Requirement ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud