ETL Extract Jobs in Noida
13 Jobs Found
Data Engineer
Rxlogix Corporation
Job Summary: We are seeking a skilled Data Engineer with 2-5 years of industry experience to join our dynamic team. The ideal candidate will have a strong background in data engineering and a keen interest in the drug safety or pharmacovigilance domain. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure to support our data-driven initiatives. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Optimize and tune data processing systems for performance and scalability. Implement data governance and security best practices. Work with large datasets from various sources, including clinical trials, adverse event reports, and other pharmacovigilance data. Develop and maintain documentation for data engineering processes and systems. Qualifications: Bachelor s degree in computer science, Engineering, or a related field. 2-5 years of experience in data engineering or a related role. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle RDBMS). Experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data warehousing solutions (e.g., Redshift, Big Query). Strong programming skills in Python, Java, or Scala. Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of data modeling, ETL processes, and data integration. Experience in the drug safety or pharmacovigilance domain is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Qualification : Bachelors degree in computer science, Engineering, or a related field.
Data Engineer
Times Internet
Data Engineer Location: Noida Experience: 2 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, building premium digital platforms across diverse sectors like News, Sports, Fintech, and Enterprise Solutions. Our brands such as TOI, ET, Cricbuzz, Times Prime, Willow TV, and Whatshot reach millions and are designed to simplify and enrich everyday experiences. We take pride in fostering an inclusive, innovative workplace. As an equal opportunity employer, we ve maintained gender pay parity (independently verified by Aon Hewitt) and are committed to building a diverse and equitable team. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform, delivering insightful content, newsletters, and premium conferences across 23+ sectors including Auto, Energy, Pharma, Retail, and HR. With a monthly reach of over 8 million professionals, ETB2B powers business decision-making and industry learning through platforms like ET Masterclass, vConfex, and the ET B2B Intent Signal Platform a cutting-edge initiative leveraging behavioral data, enrichment tools, and event-driven insights. Role Overview As a Data Engineer, you will work on building scalable data pipelines, deploying machine learning models, and extracting actionable buyer intent signals using a variety of data sources and advanced ML/NLP techniques. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines to process large-scale structured and unstructured data (web behavior, CRM, third-party APIs, etc.). Build predictive models to extract buyer intent signals, leveraging NLP, behavioral analytics, and pattern recognition. Use modern ML and NLP tools: spaCy, Transformers, Scikit-learn, TensorFlow, PyTorch, and OpenAI APIs. Collaborate with product managers, backend engineers, and data scientists to deploy models into production and optimize performance. Ensure data pipeline reliability, compliance (GDPR, SOC 2), and freshness through robust monitoring and alerting systems. Enhance pipeline and model inference efficiency for near real-time scoring applications. Document workflows, model performance, and pipeline architecture for internal transparency and reproducibility. Required Skills & Qualifications Strong experience in Python for data engineering, ML pipelines, and model integration. Proficiency with ETL tools (Airflow, Prefect), data processing frameworks (Pandas, Dask), and workflow orchestration. Knowledge of machine learning and NLP techniques (entity extraction, sentiment analysis, text classification). Familiarity with ML model deployment via Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML). Experience with relational databases (PostgreSQL, MySQL) and cloud data warehouses (BigQuery, Redshift, Snowflake). Strong grasp of version control (Git), CI/CD pipelines, and agile collaboration tools. Ability to interpret, visualize, and communicate model insights effectively working alongside analysts or through dashboards. Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related technical field. 2 5 years of hands-on experience in data engineering, applied ML, or software development, ideally in SaaS, Martech, or B2B analytics domains. Be part of India s largest digital ecosystem. Work on impactful, high-scale products with real-world value. Collaborate with top minds in data, AI, and product development. Enjoy a culture of innovation, inclusion, and continuous growth. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related technical field
Adobe Analytics Sr. Consultant
Adobe
Adobe Analytics Sr. Consultant Location: Noida, India Company: Adobe Employment Type: Full-time About Adobe At Adobe, we change the world through digital experiences. From global brands to individual creatives, we equip everyone with the tools to design and deliver exceptional customer experiences. Our inclusive culture values innovation, collaboration, and the next big idea maybe yours. The Opportunity As an Adobe Analytics Senior Consultant, you'll act as a strategic advisor to Adobe customers, helping them leverage Adobe Analytics to drive meaningful business outcomes. This client-facing role requires a unique blend of technical expertise, business insight, and strong communication skills. You ll guide customers and implementation partners through analytics strategy, solution design, implementation, and optimization, enabling them to progress along their digital maturity journey. What You ll Do Lead and manage multiple client engagements concurrently. Serve as the primary point of contact for clients and implementation partners. Deliver technical and strategic consulting to optimize Adobe Analytics implementation and use. Develop deep understanding of client business models, KPIs, and digital strategy. Provide solution design guidance and review technical documentation. Perform implementation audits and troubleshooting to ensure best-in-class quality. Share recommendations, industry best practices, and maturity roadmaps tailored to each client. Facilitate enablement and upskilling sessions with client teams. Collaborate closely with Adobe internal teams (engineering, product, support) to drive success. Create technical documentation, client reports, and presentations. Contribute to thought leadership and act as a recognized SME within Adobe and with clients. What You Need to Succeed 6 10 years of experience in digital analytics, data strategy, or web analytics. Strong hands-on experience with Adobe Analytics (Adobe Experience Cloud) implementation and architecture. Familiarity with JavaScript, HTML, tag management systems (e.g., Adobe Launch, Tealium, GTM), and web architecture. Strong understanding of digital marketing and analytics use cases (segmentation, funnels, attribution, etc.). Proven experience working directly with clients and cross-functional teams. Ability to translate complex technical concepts into actionable business recommendations. Excellent communication, presentation, and stakeholder management skills. Experience in consulting, solution design, or digital strategy roles preferred. Bachelor s or Master s degree in Computer Science, Marketing Analytics, or a related field. Be part of a global leader in digital experience innovation Work with the world s top brands and digital experts Enjoy a collaborative, inclusive, and forward-thinking culture Gain access to industry-defining tools and a clear career path Qualification : Bachelors or Masters degree in Computer Science, Marketing Analytics, or a related field.
Apache Nifi Developer
Ksolves India Limited
Apache NiFi Developer Noida 3+ Years Experience Full-Time Location: Noida Experience Required: 3+ years Job Type: Full-Time Openings: 2 Job Overview: We are hiring a skilled and experienced Apache NiFi Developer to join our data engineering team. The ideal candidate will have hands-on expertise in developing and managing robust, scalable data pipelines using Apache NiFi, along with a strong background in system administration, data flow optimization, and secure data integration. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Apache NiFi. Manage the daily operations of Apache NiFi environments, ensuring high availability and performance. Set up, configure, and maintain new NiFi environments across development, testing, and production. Monitor system health, troubleshoot issues, and ensure security and compliance. Implement and manage user access control, SSL, and LDAP integration. Optimize data flows and NiFi processors for maximum performance and reliability. Integrate NiFi with databases (SQL/NoSQL), cloud storage (S3, Azure Blob), Kafka, and SNS. Handle structured data formats like JSON, XML, CSV, Avro, and use tools like Jolt Transform. Develop and maintain backup and disaster recovery plans for NiFi environments. Document configurations, processes, troubleshooting steps, and best practices. Required Skills and Qualifications: 3+ years of experience with Apache NiFi development and administration. Deep understanding of NiFi architecture, processors, flow files, and controllers. Proficiency in designing and deploying data flows across complex systems. Experience with NiFi Toolkit, NiFi Registry, and NiFi Reporting Tasks. Familiarity with MiNiFi, shell scripting, Linux/Unix environments, and monitoring tools like Prometheus and Grafana. Working knowledge of REST APIs, SQL, and cloud platforms like AWS or Azure. Strong written and verbal communication skills. Experience with other data integration technologies like Apache Kafka or Apache Spark is a plus.
Database Lead/ Technical Lead
Rxlogix Corporation
General Purpose: We are looking for a visionary engineer to join our development team. The successful candidate will be responsible for managing the team, responsible for developing and managing the Engineering process. In this role, the hands-on Software Development Manager will be called upon to analyse problems, suggest, and assess multiple alternative solutions. Essential Duties & Responsibilities Manage a team of professionals to design and develop database systems. Provide guidance to the database team on database structures and features. Create standard procedures to enhance the scalability and performance of existing database architecture. Troubleshoot complex database issues in an accurate and timely manner. Supervise installation, migration, and upgrade of databases. Ensure that the database solution is developed according to business requirements. Prepare reports on database scalability and capacity planning as needed. Identify and resolve database issues related to performance and capacity. Oversee day-to-day activities of the database team. Develop best practices for performance and operational efficiency. Ensure database management and maintenance tasks are performed effectively. Conduct training programs for staff on database development and maintenance procedures. Provide regular updates to management on database project status. Implement agile processes and metrics to ensure that the engineering organization is exceptionally efficient and focused, and that the product is market ready. Recruit and develop a world-class development team, utilize external resources to drive important initiatives Stay updated with new database technologies and analyse such technologies to bring into the scope of existing infrastructure. Strong Linux/Unix experience Minimum Requirements Over 7+ years of experience in Product development Experience of data warehouse system design, development, and testing 5+ years of experience in leading and organizational skills Strong knowledge of Oracle database Extensive Knowledge of Oracle Argus Excellent communication and customer interfacing skills Experience in successful delivery of multiple products on time and with Quality Preferred Qualifications BTech / MTech Travel Expectations 0-10% Qualification : BTech / MTech
Automation Qa Engineer
Indus Valley Partners
Senior QA Engineer / QA Automation Engineer Location: Noida Shift: 11 AM - 8 PM Position: Senior QA Engineer / QA Automation Engineer About the Role: We are looking for a highly skilled QA Automation Engineer to join our dynamic team in Noida. As part of the IVP QA team, you will drive the automation efforts for web applications, API testing, and performance testing. In this role, you will collaborate with Product Development Teams, Business Analysts, and other stakeholders to ensure that we deliver high-quality, well-tested software aligned with business requirements. You will have the opportunity to lead automation strategies, enhance testing maturity, and ensure the delivery of top-tier products through continuous integration and deployment (CI/CD) practices. Key Responsibilities: Automate test cases for new feature testing and enable automated regression testing for future releases. Collaborate with development and product teams to identify and report bugs while enriching test case quality. Design and develop automated test scripts using tools like TestComplete (JavaScript/Java) for web applications. Implement and manage API testing using Postman and SoapUI, including Groovy scripting for automation. Integrate TestComplete and API tests into the Azure DevOps CI/CD pipeline. Conduct performance testing using JMeter to analyze system performance under load. Utilize Azure Test Plans for efficient test management, execution, and reporting. Collaborate with DevOps teams to ensure robust test coverage and smooth test execution. Track, document, and manage bugs, ensuring timely resolution and continuous improvement. Stay updated with the latest testing tools, methodologies, and best practices to drive automation efficiency. Lead the implementation of End-to-End test automation strategies to improve overall test automation coverage. Establish testing standards, processes, and improve the overall automation maturity of the team. Opportunity to hire and mentor future QA team members. Required Skills & Experience: 4+ years of experience in web automation testing with a focus on modern testing tools like Selenium, TestComplete, Cypress, or Playwright. Expertise in API testing using tools such as Postman and SoapUI. Proficient in DevOps processes, particularly using Azure DevOps for CI/CD pipeline integration. Experience with performance testing using JMeter and analyzing system performance under load. Familiarity with Microservices architecture, Kubernetes, and related tools is a plus. Strong knowledge of SQL and SQL performance tuning for validating test data. Proven experience with Agile Software Development Life Cycle (SDLC), and a strong understanding of ETL workflows. Qualifications: Bachelor s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Minimum of 4 years of hands-on experience in Web Automation Testing. Strong verbal and written communication skills. A keen focus on quality and the ability to identify improvement areas within the QA process. Ability to adapt quickly in a dynamic, fast-changing environment while maintaining a high standard of work. Problem-solving mindset with a proactive approach to identifying and resolving issues. Preferred Skills: Experience with cloud platforms like Azure or AWS. Knowledge of microservices and containerized environments (e.g., Kubernetes). Qualification : Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Software Development Engineer
Adobe
Join Adobe s Genuine Engineering Team as a Full Stack Developer! At Adobe, we re transforming the digital experience and empowering everyone from emerging artists to global brands to create and deliver exceptional content across every screen. We believe in the power of technology to unlock creativity, and we re on a mission to find the best talent to help us build the next generation of digital solutions. As part of our Genuine Engineering team, you ll play a critical role in safeguarding Adobe s intellectual property, strengthening product security, and combating piracy and fraud. You ll contribute to developing frontend C++ libraries for Adobe desktop products on Windows and macOS, while building robust backend services with Java, Spring, AWS, and Databricks. Your expertise will directly influence the security of Adobe s products, and your work will have a meaningful impact across the globe. What You ll Do: Frontend Development (C++): Develop and enhance features for the GoCart or product hardening libraries used in Adobe desktop applications. Ensure flawless integration of C++ libraries across Windows and macOS platforms. Optimize code for performance, memory usage, and stability while resolving technical challenges quickly and effectively. Backend Development (Java, Spring, AWS, Databricks): Build and optimize microservices using Java and Spring Boot to enhance backend systems. Develop cloud-based solutions with AWS services and create ETL pipelines in Databricks. Focus on improving the security, performance, and scalability of backend services. General Responsibilities: Take full ownership of your features, from design to deployment, ensuring they meet business needs and technical excellence. Work collaboratively with cross-functional teams to deliver innovative, impactful solutions. Continuously identify opportunities for improvement, and implement innovations to close system gaps. Contribute to Agile practices, including code reviews and following best practices. What You Need to Succeed: Educational Qualifications: Bachelor s or Master s degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Professional Experience: 4+ years of hands-on experience in full-stack development. Technical Expertise: Frontend (C++): Proficiency in modern C++ (C++11/14/17/20) and solid understanding of object-oriented programming. Experience with cross-platform development on Windows and macOS. Ability to debug, profile, and optimize native code for performance. Backend (Java, Spring, AWS, Databricks): Expertise in Java and Spring Boot for building scalable microservices. Hands-on experience with AWS technologies such as S3, Lambda, DynamoDB, ECS, and more. Experience working with Databricks, Spark, and ETL data pipelines. Strong knowledge of SQL and NoSQL databases. General Skills: A strong understanding of computer science fundamentals, system design, and performance optimization. Demonstrated ability to analyze complex technical challenges and find effective solutions. Excellent written and verbal communication skills, with the ability to work both independently and collaboratively. Familiarity with Agile development methodologies and practices. By joining Adobe s Genuine Engineering team, you ll work on high-impact projects that directly affect Adobe s business and customers worldwide. Your contributions will help secure and protect Adobe s products, ensuring that we continue to provide cutting-edge, safe, and secure solutions to users globally. If you re passionate about working with C++ and Java technologies in a dynamic, high-impact environment, we d love to hear from you! Qualification : Bachelors or Masters degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
Finance Analyst
Mott Macdonald
Core Responsibilities: Assisting manager in performing credit checks, financial due diligence, data analysis for the business across the globe with shorter turnaround times. Working closely with global stakeholders for validating financial and non-financial data with quick turnaround time to support the group business in making data driven decisions. To actively research and scrutinize a variety of data sources to extract and evaluate relevant data and assist in making financial reports for the global business. High quality data (Financial / Non-Financial Data) collation, analysis, extraction and entering the data in work tools as per guideline specifications for assigned vertical. To carry out regular audits on the data ensuring currency, consistency, completeness and correctness is achieved. Supports Manager with financial reporting, credit management, treasury (including banking, mandates), and internal controls in the Country. Prompt processing of Accounts Receivable invoicing, and payment of Accounts Payable invoices, Site returns, staff expenses and processing inter-entity billing journals and preparing supporting invoices where relevant. Investigate and clear invoicing queries, including allocation of cash receipts and debtor follow up. Ensure credit notes are approved in line with delegated authorities Help the manager in reviewing existing Finance Processes, develop process flowcharts, provide recommendations on improvements, and implement changes. Assist in monitoring intercompany accounts to ensure the transactions are valid, reconciled and settled as appropriate with guidance from group Treasury. Assist Manager with internal and external audits. Candidate specification: MBA Finance/ M.Com. with experience of 0-2 years. Good analytical ability with effective communication and interpersonal skills Fluent English (both written and verbal). Strong ability of searching correct data over the internet and other online resources Flexibility to work longer hours at peak times as required Conversant in the use of Microsoft products and experience in other ERP systems Willingness to undertake business travel as required around India Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Qualification : MBA Finance/ M.Com. with experience of 0-2 years.
Computer Vision Researcher Advanced Robotics
Addverb Technologies
Job Title: Computer Vision Researcher Location: Noida Headquarters Overview: We are looking for a talented and driven Computer Vision Researcher to join our Advanced Robotics team. As a key member, you will contribute to the design, optimization, and integration of cutting-edge computer vision technologies that power our innovative robotic systems. Your expertise will drive the development of humanoid robots capable of navigating and interacting with complex, dynamic environments. This role will involve working on various advanced robotics products, including the Collaborative Robot, Quadruped (Trakr), Remote Ultrasound Solution, and Bi-Ped Robot. Key Responsibilities: Conduct Advanced Research: Lead research in computer vision areas such as image segmentation, object detection, motion tracking, sensor fusion, and more to create efficient algorithms enabling robots to perceive, navigate, and interact in real time with their environments. Deep Learning Model Development: Design, train, and fine-tune deep learning models (e.g., CNNs, RNNs, GANs) for various computer vision tasks. Work with large datasets to optimize performance and accuracy. Data Pipeline Management: Develop and implement efficient data processing pipelines for large-scale datasets. Utilize data augmentation techniques to enhance model robustness. Prototype Development: Build prototypes and proof-of-concept systems to demonstrate the integration of computer vision algorithms into practical robotic applications. Real-time Optimization: Evaluate and optimize the performance of computer vision models, particularly for real-time applications, ensuring both high accuracy and computational efficiency, especially for embedded or mobile devices. Third-Party Integration: Facilitate the integration of third-party computer vision libraries and frameworks into the robotic control stack, ensuring seamless compatibility with existing systems. Collaboration Across Teams: Work closely with product teams, hardware engineers, and software developers to integrate computer vision technologies into robotics hardware for enhanced robot movement and features. Mentorship and Guidance: Mentor junior researchers and engineers in computer vision techniques. Provide guidance on experimental design, data analysis, and algorithm development. Qualifications & Skills: Education: Ph.D. or Master s degree in Computer Science, Computer Vision, AI, Robotics, or a related field. Experience: 5-8 years of experience in computer vision research and development, including working with deep learning frameworks and large-scale datasets. Expertise in Computer Vision: Strong knowledge of image processing, feature extraction, object detection, segmentation, tracking, and other related areas. Deep Learning Frameworks: Proficiency with frameworks like TensorFlow, PyTorch, Keras, or Caffe. SLAM and VIO Knowledge: Experience with Visual SLAM, LiDAR SLAM, and Visual Inertial Odometry (VIO) is a plus. Advanced Networks: Hands-on experience with CNNs, RNNs, GANs, and other advanced deep learning architectures. Traditional Computer Vision: Familiarity with traditional computer vision techniques such as SIFT, SURF, HOG, and Optical Flow. Programming Skills: Strong skills in C++, Python, or other relevant programming languages. Data Handling: Experience with large image datasets (e.g., COCO, ImageNet), data augmentation, and processing techniques. Computer Vision Libraries: Experience with libraries like OpenCV or scikit-image. GPU Programming: Familiarity with CUDA for training deep learning models on GPUs. Machine Learning Fundamentals: Strong background in machine learning algorithms, statistical methods, and performance analysis techniques. Research & Innovation: Ability to stay current with the latest research trends in computer vision and apply cutting-edge methods to real-world challenges. Be a part of a dynamic, forward-thinking team pushing the boundaries of robotics. Work on innovative products with the potential to redefine the robotics landscape. Collaborate with experts across multiple disciplines in a supportive, growth-focused environment. If you're passionate about advancing the future of robotics and have a deep understanding of computer vision, we encourage you to apply and make a tangible impact on the next generation of intelligent robotic systems. Qualification : PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field
Principal Engineer/Manager - CAD
Qualcomm
Job Title: Principal Engineer/Manager - CAD General Summary: As a global technology leader, Qualcomm is committed to driving innovation, enabling next-generation experiences, and shaping a smarter, more connected world. Our engineers work on cutting-edge technologies to design, optimize, and verify complex electronic systems, including digital, analog, RF, and optical circuits, FPGA, DSP, and advanced SoCs. We are seeking an experienced Principal Engineer/Manager to lead our CAD team in Noida. This role involves managing a team of 20+ CAD engineers, driving the development of state-of-the-art tools, flows, and methodologies, and ensuring Qualcomm's continued success in designing the industry s most advanced SoCs on leading-edge process nodes. Key Responsibilities: Leadership & Management: Oversee all CAD functions in Noida, covering front-end and RTL-to-GDS (RTL2GDS) tools. Lead and mentor a high-performing team of CAD engineers. Collaborate with global CAD teams to define and implement best practices. Tools, Flows & Methodologies Development: Drive the development and enhancement of EDA tools, workflows, and methodologies. Define and implement strategies to improve RTL, Design Verification (DV), synthesis, PnR, and signoff methodologies. Introduce innovative solutions to enhance design efficiency and quality. Cross-Team & Vendor Collaboration: Act as the primary interface between Qualcomm execution teams in Noida and global stakeholders. Build and manage relationships with EDA vendors, ensuring alignment with Qualcomm s roadmap. Stay ahead of emerging industry trends and technologies to maintain a competitive edge. Required Qualifications: Experience: 15+ years of experience in CAD tool/flow/methodology development in RTL, DV, synthesis, PnR, or signoff. A proven track record of driving innovation in EDA tools and design methodologies. Previous experience managing a medium-sized team with a focus on leadership and technical mentorship. Education: Preferred: Master s degree in VLSI or Computer Science. Minimum: Bachelor s degree in Electronics, Electrical Engineering, or Computer Science. Work on groundbreaking technologies and contribute to next-generation SoCs. Be part of a global, highly collaborative CAD team. Enjoy a competitive compensation package, career growth opportunities, and professional development programs. Qualification : Bachelors degree in Electronics, Electrical Engineering, or Computer Science
Senior Physical Design Engineer
Qualcomm Technologies
Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. General Summary PNR implementation for Qualcomm SoC's Good hands-on experience on Floorplanning, PNR and STA flows Good knowledge on Placement/Clock Tree Synthesis (CTS), optimization, etc Good understanding on signoff domains LEC/CLP/PDN knowledge, etc Good knowledge on Unix/Linux Perl/TCL fundamentals/scripting Principal Duties and responsibilities: Complete ownership on PNR implementation (Floorplanning, Placement, CTS, post_route,etc) on latest nodes. Signoff knowledge is mandatory (STA,Power analysis,FV, low power verification, PV,etc) Quick learner with good analytical and problem solving skills Qualifications: 3+ years Hardware Engineering experience or related work experience. 3+ years experience with PNR flow in latest tech nodes (e.g., 4nm/5nm/7nm/10nm Qualification : Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
Staff Physical Design Engineer
Qualcomm Technologies
General Summary As a Hardware Engineer at Qualcomm, you will be involved in planning, designing, optimizing, verifying, and testing electronic systems, such as circuits, mechanical systems, Digital/Analog/RF/optical systems, and FPGA/DSP systems. Your work will contribute to world-class, cutting-edge products in collaboration with cross-functional teams. You'll be focused on PNR implementation for Qualcomm SoCs and will work on some of the latest technology nodes, shaping the next generation of smart, connected systems. Minimum Qualifications Education: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or related field with 4+ years of Hardware Engineering or related experience, OR Master's degree in the relevant field with 3+ years of experience, OR PhD in Computer Science, Electrical/Electronics Engineering, or related field with 2+ years of Hardware Engineering or related experience. Experience: 8+ years of hardware engineering experience or related work experience. Extensive experience in PNR flows for the latest technology nodes (e.g., 4nm/5nm/7nm/10nm). Hands-on experience in Floorplanning, Placement, CTS, Post-route, and other related tasks on advanced nodes. Sign-off knowledge is mandatory (STA, Power analysis, FV, low power verification, PV, etc.). Expertise in Unix/Linux, with proficiency in scripting languages such as Perl/TCL. Skills: Strong knowledge of Placement, Clock Tree Synthesis (CTS), and optimization techniques. Understanding of signoff domains such as LEC, CLP, PDN. Ability to learn quickly, with strong analytical and problem-solving skills. Qualification : Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
Product Analyst - Assistant Manager - Devices
Paytm
Position: Product Analyst Assistant Manager (Devices) Location: Noida, Uttar Pradesh (Work From Office) Department: Analytics Offline Merchants (EDC) Employment Type: Full-time Experience: 2 6 years About Paytm Paytm is India s leading mobile payments and financial services distribution company and pioneer of the mobile QR payments revolution. Our mission is to empower half a billion Indians by bringing them into the mainstream economy through innovative technology. About the Team You will work with device data from millions of merchants, deriving actionable insights to optimize device performance and enhance merchant experience. Key Responsibilities & Requirements Advanced experience with SQL for querying and data analysis Basic knowledge of Python for scripting and automation Proficiency in Google Looker or other data visualization tools; experience with Looker Studio is a plus Experience in automation projects related to data extraction, integration, and visualization Advanced Excel skills including VBA for report automation Building management reports, MIS, and dashboards Strong analytical thinking and problem-solving skills Skills & Qualifications Bachelor s degree in Computer Science, Engineering, or a related field 2+ years as a Product Analyst, preferably in fintech, financial services, or technology sectors Ability to translate complex business problems into technical requirements Excellent communication and collaboration skills for cross-functional teamwork Experience in market research and analysis is an added advantage If you re passionate about leveraging data to drive business decisions and want to be part of a leading fintech organization, apply now! Qualification : Bachelors degree in Computer Science, Engineering, or a related field
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