Data Modeling Jobs in Noida

Position Title: Backend Engineer Location: Noida Job Type: Full-Time Experience Required: 2 4 Years About QueueBuster QueueBuster , founded in 2016, is India's leading Business Super App. Our Android-based Mobile POS (Point of Sale) solution helps businesses of all sizes from large retail stores to small kiosks manage their operations with ease. With features like Billing, Inventory Management, Khata (Credit Ledger), Online Store, Customer Management, and Loyalty Programs, QueueBuster is the go-to platform for modern retail businesses. Role Overview We re looking for a Backend Engineer who is passionate about building fast, scalable, and secure backend systems. You will work closely with our engineering and product teams to design, develop, and maintain the server-side logic and infrastructure powering our mobile POS solution. This is a full-time role based out of our Noida office, and it requires someone who thrives in a collaborative, fast-paced environment. Key Responsibilities Design and develop robust backend services and APIs that power mobile and web applications. Collaborate with frontend developers, product managers, and other stakeholders to deliver high-quality features. Own features end-to-end from concept to production and post-launch maintenance. Build, test, deploy, and maintain applications on cloud platforms. Ensure performance, scalability, reliability, and security of all backend systems. Troubleshoot and debug application issues and identify bottlenecks in performance. Write clean, maintainable, and well-documented code. Perform peer code reviews and contribute to team best practices. Lead architecture and design discussions for backend systems and microservices. Continuously improve development processes, tools, and methodologies. Required Skills & Qualifications 2+ years of hands-on experience in Node.js and MySQL. Experience with PHP and NoSQL databases (e.g., MongoDB, Redis) is a plus. Strong expertise in developing and integrating RESTful APIs. Working knowledge of web server management (e.g., Nginx, Tomcat) and cloud infrastructure. Experience with cloud platforms (e.g., AWS) and services like EC2, Lambda, SNS, SQS. Solid understanding of OOP, data structures, algorithms, and software design principles. Experience with microservices architecture and database design. Proficiency in Linux environments, including troubleshooting and log analysis. Familiarity with version control systems and branching strategies (e.g., Git). Experience with unit testing and maintaining high test coverage. Understanding of system design principles, including scalability and fault tolerance. Knowledge of Agile/Scrum methodologies and CI/CD pipelines. Strong debugging and performance optimization skills. Preferred Qualifications Bachelor s degree in Computer Science, Software Engineering, or a related field. High level of ownership, accountability, and a proactive attitude. Willingness to learn and experiment with new tools and technologies. Prior experience deploying and maintaining live cloud-based applications. Familiarity with tools like ElasticSearch, Neo4j, Redis, or Graph databases is a plus. What You ll Gain Opportunity to work in a fast-growing product company with a national footprint. Ownership of key product components with end-to-end development. Exposure to modern technologies, cloud platforms, and scalable system architecture. Collaborative and high-performance work culture. If you're excited about building systems that impact thousands of businesses across India, we'd love to hear from you. Qualification : Bachelors degree in Computer Science, Software Engineering, or a related field

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

Lead Engineer Full Stack (Tech & Data Lead) Location: Noida Experience: 3 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, delivering premium platforms across industries including News, Sports, Fintech, and Enterprise Solutions. Our iconic brands TOI, ET, Cricbuzz, Times Prime, Willow TV, and others reach millions of users and help simplify their everyday lives. We are an equal opportunity employer that promotes diversity, inclusion, and innovation. Our culture values bold thinking and empowers teams to build impactful products that shape the future of digital India. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform serving 23+ industries like Auto, Energy, Pharma, Retail, and HR, with a reach of over 8 million professionals. Through curated content, premium events, and innovative digital tools like ET Masterclass and vConfex, ETB2B powers informed decision-making and professional growth. We re now launching a first-party B2B intent signal platform a cutting-edge system to convert high-value traffic into actionable insights for enterprise clients. Role Overview We re looking for a hands-on Lead Engineer to head the technology and data backbone of our new B2B intent signal platform. In this founding team role, you ll architect and develop the platform s core backend, integrating components such as: Reverse-IP based company detection User behavior tracking Intent scoring engines Data packaging for enterprise delivery This role is ideal for someone who thrives in fast-paced, early-stage environments, enjoys solving complex data and system design challenges, and is motivated to build scalable, commercial-grade B2B SaaS infrastructure. Key Responsibilities Lead the design and development of end-to-end backend architecture for a high-scale B2B SaaS platform. Develop and integrate data pipelines, tracking mechanisms, and analytics engines to capture buyer behavior signals. Architect robust APIs and services to deliver insights and signals to clients in real time. Work closely with product managers and data teams to translate business requirements into tech roadmaps. Ensure platform scalability, security, and performance while adhering to industry standards. Mentor junior engineers and contribute to building a strong tech-first culture. Qualifications & Skills 3 5 years of full-stack/backend engineering experience, preferably in SaaS, Martech, or data-driven platforms. Strong experience with backend technologies such as Node.js, Python, Go, or Java. Hands-on experience with REST APIs, data modeling, and cloud platforms (AWS, GCP, or Azure). Familiarity with user tracking systems, behavior analytics, or intent data is a strong plus. Experience working with databases (SQL & NoSQL), message queues, and containerized deployments (Docker/Kubernetes). Problem-solving mindset with the ability to work independently in a startup-style team. Be a founding engineer on a high-impact, data-first B2B product. Work with cross-functional teams and own end-to-end tech decisions. Join a mission-driven, innovation-focused culture backed by India s top digital media company. Competitive compensation, autonomy, and learning opportunities.

Position: Fintech Academic Expert Location: Noida, Uttar Pradesh Department: Analytics Education Employment Type: Full-time About Paytm Paytm is India's leading mobile payments and financial services platform. As the pioneer of mobile QR payments in India, we build technologies that empower small businesses with seamless payment and commerce solutions. Our mission is to bring half a billion Indians into the mainstream economy through the power of technology. About the Role We are seeking a seasoned Fintech Academic Expert to drive educational innovation and thought leadership across our organization. This role blends domain expertise with instructional design, aimed at building internal capabilities, supporting product development, and engaging the broader fintech ecosystem. You will be at the forefront of Paytm s knowledge initiatives crafting cutting-edge learning content, delivering impactful training, and translating emerging fintech trends into actionable insights for our teams and partners. Key Responsibilities Content Development Design and deliver high-impact educational content, including case studies, technical guides, and hands-on modules across fintech domains. Research & Industry Trends Continuously track global fintech innovations and incorporate relevant insights into training programs and strategic discussions. Training & Enablement Lead in-depth training sessions for employees, partners, and student cohorts on fintech products, technologies, and regulatory frameworks. Product & Innovation Support Act as a subject matter expert to assist product and tech teams in developing user-centric fintech solutions through workshops and feedback loops. Required Skills & Tools Must-Have: Advanced Excel Prompt Engineering and Agentic AI Frameworks MCP (Model Context Protocol) Programming in Java / Python / R (with hands-on experience) Good to Have: Bloomberg Terminal knowledge Ethereum/Blockchain development exposure TensorFlow or other AI/ML tools Familiarity with Agile & Kanban methodologies Core Competencies: Excellent verbal and written communication Ability to simplify complex concepts into engaging learning materials Passion for fintech education, transformation, and innovation Domain Expertise Areas Digital Wallets & Payment Systems Blockchain & Cryptocurrency Fundamentals Artificial Intelligence, Machine Learning, and Big Data Analytics Cybersecurity, APIs, and Open Banking InsurTech & RegTech Qualifications & Experience Minimum 5 years of professional experience in fintech, banking, or financial services Previous experience in teaching, mentoring, or training is highly preferred Background in fintech product development or product management is a significant plus At Paytm, you ll be part of a mission-driven team building technology for scale and impact. If you're passionate about financial innovation and want to shape the next generation of fintech learning, we invite you to join us and make a lasting difference.

Position: Business Analyst Team Lead (Lending) Location: Noida, Uttar Pradesh Department: Analytics Lending Employment Type: Full-time About Us Paytm is India s leading mobile payments and financial services company. As a pioneer of the mobile QR payments revolution, we build cutting-edge technologies that empower small businesses through seamless payments and commerce tools. Our mission is to serve 500 million Indians and integrate them into the mainstream economy through innovation and technology. About the Team Our Lending team is rapidly growing, with increasing adoption across Paytm s financial products such as Paytm Postpaid (BNPL), merchant loans, and personal loans. This business is powered by data science and analytics, enabling intelligent, data-driven decision-making and tailored lending solutions for our users. Role Overview We are looking for a dynamic Business Analyst Team Lead to join our Lending Analytics team. In this role, you will lead data-driven initiatives, provide actionable insights, and develop analytical solutions that enhance business decision-making. You will play a key role in shaping Paytm's lending strategy by leveraging advanced analytics to solve complex problems and uncover growth opportunities. Key Responsibilities Lead analytical problem-solving for lending-related business challenges Develop and deploy machine learning models and data-driven solutions Generate business insights through in-depth data analysis and statistical modeling Collaborate with cross-functional teams including product, growth, and risk to align analytics with strategic goals Drive the adoption of analytics and showcase its impact on business performance Mentor junior analysts and help establish best practices for data-driven decision-making Requirements & Qualifications 2 6 years of experience in analytics within consulting, fintech, or BFSI domains Bachelor s or Master s degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative discipline Strong hands-on experience with analytics tools such as Python/R, SQL, big data platforms, and data visualization tools Proficient in machine learning, data modeling, statistical techniques, and data management Proven ability to structure complex problems and derive strategic insights Experience building and scaling analytics functions in a business environment Excellent communication and storytelling skills with the ability to present findings to senior stakeholders Self-motivated, impact-oriented, and comfortable working in fast-paced environments Work in a collaborative, results-driven environment that emphasizes innovation and ownership Opportunity to drive real impact in one of India s fastest-growing lending businesses Improve customer engagement and maximize revenue opportunities through smart analytics Gain 360-degree feedback and support from peer teams and leadership Be part of a culture where respect is earned, and merit is recognized Qualification : Bachelors or Masters degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative discipline

Position: Manager, Statistical Analysis Work Type: Onsite Location: Noida, Uttar Pradesh, India About Fiserv: Fiserv is a global leader in fintech and payments, moving money and information millions of times daily quickly, reliably, and securely. Whether you swipe a card, pay via mobile app, or withdraw cash, Fiserv plays a vital role. Join us and make an impact on a global scale. Role Overview: As a Manager, Statistical Analysis, you will be a key driver of enterprise automation projects at Fiserv. This role requires developing detailed project plans, mentoring teams, managing resources, engaging stakeholders, and proactively mitigating risks to ensure alignment with strategic business objectives. What You Will Do: Project Planning and Management Develop comprehensive project plans covering timelines, budgets, resources, and milestones. Ensure all project activities align with corporate goals and strategies. Continuously monitor progress and adjust plans as needed. Team Leadership and Coordination Lead, mentor, and foster collaboration within project teams. Organize regular meetings to address issues and provide constructive feedback. Clarify roles and responsibilities to promote cohesive teamwork. Stakeholder Management Engage senior stakeholders to provide strategic updates and gather feedback. Identify and mitigate significant risks throughout the project lifecycle. Ensure deliverables meet Fiserv s quality standards. Resource Allocation Secure and optimize resources for maximum efficiency. Manage budgets to prevent overspending. Risk Management Proactively identify potential risks and implement effective mitigation strategies. Deploy contingency plans to maintain project momentum. What You Will Need: Education Bachelor s or Master s degree in Computer Science or a related field. Experience 10+ years leading delivery teams, especially in implementing automation solutions. Technical Skills Deep understanding of development and test automation technologies. Leadership Skills Strong leadership and team management capabilities across cross-functional groups. Communication Excellent ability to communicate complex ideas to technical and non-technical stakeholders. What Would Be Great to Have: Familiarity with the Banking and Payments domain. This role offers an exciting opportunity to lead innovation in enterprise automation while promoting a culture of collaboration and excellence at Fiserv. Qualification : Bachelors or Masters degree in Computer Science or a related field.

Assistant General Manager Analytics (Risk Product) Location: Noida, Uttar Pradesh (Onsite) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, revolutionizing the digital economy with mobile QR payments. Our mission is to bring half a billion Indians into the mainstream economy using cutting-edge technology. Join us to be part of India s largest fintech lending revolution. Role Overview We are looking for an experienced Assistant General Manager Analytics to lead data analysis and reporting efforts for our lending verticals. This role demands strong expertise in SQL, dashboarding tools, and a passion for using AI to automate repetitive data workflows. You will collaborate with multiple stakeholders, deliver actionable insights, and drive data quality improvements across lending products. Key Responsibilities Develop, maintain, and automate comprehensive reports and dashboards tracking KPIs across lending verticals. Manage and prioritize data and analytics requirements from multiple lending teams. Analyze lending data trends to provide insights and actionable recommendations. Ensure data quality, accuracy, and integrity through robust methodologies. Present findings effectively to both technical and non-technical audiences. Identify opportunities to apply AI for automating repetitive data processes and improving efficiency. Stay current with industry trends in data analytics, AI, and fintech lending. Qualifications Bachelor s degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.). 5 7 years of hands-on experience in data analytics, preferably in lending or financial services. Strong proficiency in SQL and PySpark for data manipulation and analysis. Expertise with data visualization tools such as Tableau, Power BI, or Looker. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple projects and collaborate across teams. Self-driven with a demonstrated passion for AI implementation and automation. Preferred Skills Experience with statistical modeling and data mining techniques. Familiarity with cloud data warehousing platforms like Snowflake, BigQuery, or Redshift. Programming experience in Python or R. Proven track record of implementing AI-driven automation in business analytics. Be part of India s largest fintech lending platform with 500+ million users and 21+ million merchants. Work in a high-energy, innovative environment that fosters career growth and excellence. Opportunity to contribute to democratizing credit and financial inclusion in India. Play a critical role in shaping the future of digital lending in the country. Qualification : Bachelors degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.)

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.

Our Company At Adobe, we re transforming the world through digital experiences. We provide everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We re passionate about empowering people to create beautiful and powerful images, videos, and apps, and revolutionizing how companies interact with customers across every screen. We re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. We know that new ideas can come from anywhere in the organization, and the next big idea could be yours! Excited by AI/ML? Interested in creating innovative solutions using Machine Learning? Join the Document Cloud team in Noida, where we are building PDF solutions across Web, Mobile, Desktop, and Platform APIs. We process billions of PDFs every month, leveraging ML, Deep Learning, and Generative AI at the core. We are looking for experienced individuals who are passionate about researching and developing methods for processing vast amounts of content, and are able to build mashups of Vision, Image Processing, NLP, and Generative Models to solve complex problems. What you get to do in this role: Develop algorithms that apply deep learning and state-of-the-art methods in NLP and computer vision, alongside traditional large-scale, sophisticated solutions/codebases. Design and create experiments, algorithms, and solutions that achieve high accuracy while ensuring they are engineered to scale. Collaborate across multiple research and engineering disciplines to make the tradeoffs necessary to rapidly deliver AI/ML software solutions. Build robust, efficient, and reusable code in Python. Experience with C++ is preferred. In order to be successful, we need someone who has: B.Tech in Computer Science. MS/PhD is preferred. 3+ years of hands-on experience in deep learning, image processing, vision, and/or NLP. Proficiency in writing efficient, clean, and reusable code, with expertise in Python. Knowledge of C++ is a plus. Broad machine learning experience including data modeling, metrics, and result analysis. Experience working with TensorFlow or PyTorch. Exposure to Deep Learning techniques like CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, and multi-task learning. Experience in building solutions from scratch and maintaining large codebases. Strong software development skills that promote code reuse across engineering and research teams. Experience building AI applications for multiple locales is a plus. Pure Innovation: We celebrate those who think critically, take on challenges, and aspire to lead the way. Pure Growth: We offer the space and support you need to grow and contribute meaningfully to something groundbreaking. Pure Team: We believe in building each other up and working collaboratively toward shared goals. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B.Tech in Computer Science. MS/PhD preferred.

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.

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

Job Title: Performance Marketing Manager Location: Noida Experience Required: 3 to 8 years Employment Type: Full-Time About the Role As a Performance Marketing Manager at EaseMyTrip, you will play a key role in maximizing our digital presence and customer acquisition through targeted advertising and strategic marketing initiatives. This role involves designing, executing, and optimizing multi-channel performance marketing campaigns, analyzing data insights, and continuously adapting strategies to improve ROI. You ll leverage emerging digital technologies and market trends to maintain a competitive edge and drive measurable results. Key Responsibilities Strategy Development: Build and implement a comprehensive performance marketing strategy aimed at maximizing visibility and driving customer acquisition. Channel Management: Plan, execute, and optimize campaigns across digital platforms including Google Ads, Bing Ads, and social media channels such as Facebook, Instagram, LinkedIn, and Twitter. App Marketing: Enhance app downloads, engagement, and retention through targeted in-app marketing initiatives. Data Analytics: Use tools like Google Analytics and Google Tag Manager to collect data, analyze campaign performance, and make data-driven decisions for optimization. Budget Management: Efficiently allocate and manage marketing budgets to optimize cost per acquisition (CAC) and overall ROI. Campaign Optimization: Conduct continuous A/B testing, performance analysis, and refinement of campaigns to meet key performance indicators (KPIs). Innovation & Testing: Explore new digital marketing channels and technologies to improve campaign effectiveness. Cross-functional Collaboration: Partner with management and other teams to align marketing efforts and share insights. Reporting: Prepare detailed reports on campaign performance, providing actionable insights for future marketing strategies. Market Awareness: Stay current with digital marketing trends, tools, and best practices to keep the company competitive. Preferred Candidate Profile Education: Bachelor s or Master s degree in Marketing, Business Administration, or a related field. Experience: Proven track record managing multi-channel digital marketing campaigns, including PPC, SEO, and social media marketing. Analytical Skills: Strong ability to analyze data, interpret metrics, and make informed marketing decisions. Technical Proficiency: Skilled in digital marketing tools such as Google Analytics, Google Tag Manager, and mobile marketing platforms. Strategic Thinker: Capable of developing clear, goal-oriented marketing strategies. Communication: Excellent verbal and written communication skills to effectively engage with teams and leadership. Problem Solver: Creative and resourceful in overcoming marketing challenges. Adaptability: Willingness to experiment, learn, and adjust to evolving digital marketing landscapes. Goal-Oriented: Driven to meet and exceed performance targets. Team Player: Collaborative mindset to work effectively within cross-functional teams. Work with one of India s fastest-growing travel-tech platforms. Be part of a dynamic, innovative, and supportive team. Competitive salary and benefits. Opportunity for professional growth and continuous learning. Qualification : Bachelors or Masters degree in Marketing, Business Administration, or a related field.

Job Title: Performance Marketing Manager (PPC | Programmatic | Meta Ads) Company: eMaven Solutions Location: Noida Experience: 3 5 Years Employment Type: Full-Time About the Role: eMaven Solutions is looking for a Performance Marketing Manager to lead data-driven digital advertising campaigns across Google Marketing Platform, Facebook/Meta, LinkedIn, and Twitter. This role is ideal for a tech-savvy, results-oriented marketer with hands-on experience managing large-scale, ROI-focused campaigns for global clients. Key Responsibilities: Plan, execute, and optimize high-budget PPC, programmatic, and Meta (Facebook, Instagram) ad campaigns. Manage Google Ads, Bing Ads, Facebook Business Manager, and other paid platforms. Analyze campaign data, conduct audience segmentation, keyword research, and competitive benchmarking. Collaborate with creative teams to produce high-performing ad copy, creatives, and landing pages. Run A/B tests to refine messaging, targeting, and bid strategies. Track performance using Google Analytics, GTM, and attribution models. Coordinate with product, design, and content teams for integrated marketing efforts. Stay updated with ad tech trends, platform changes, and industry best practices. Qualifications: Bachelor s degree in Engineering, Marketing, or Business. 3 5 years of digital marketing experience (PPC, programmatic, Meta ads). Proven success managing global paid media campaigns across platforms. Strong proficiency in Google Ads, Meta Ads Manager, Google Tag Manager, Zapier, and analytics tools. Excellent data interpretation, reporting, and communication skills. Google Ads and Facebook Blueprint certifications are a plus. What s on Offer: Competitive salary & benefits. Flexible hours & remote work options. A growth-focused, collaborative team environment. Opportunities for professional development and leadership. Qualification : Bachelors degree in Engineering, Marketing, or Business.

Senior Machine Learning Engineer II Location: Noida, Uttar Pradesh, India Employment Type: Full-Time About Adobe Adobe is revolutionizing the way the world creates and communicates. From individuals to global enterprises, our tools empower people to design and deliver stunning digital experiences. We re driven by creativity, fueled by innovation, and committed to creating an inclusive culture where every employee has access to equal opportunity and respect. About the Team The Adobe Express team is building a transformative all-in-one creative application for web, desktop, and mobile platforms. By combining Adobe s core creative technologies with intelligent, AI-enhanced workflows, Adobe Express empowers anyone from casual creators to professionals to create standout content quickly and effortlessly. The Opportunity We are seeking a highly experienced and visionary Senior Machine Learning Engineer II to develop next-gen AI-powered features focused on image editing, generative AI, and multimodal creative experiences within Adobe Express. You will drive cutting-edge ML and AI workflows, including personalized assistants, intelligent editing tools, and LLM-integrated creative workflows. Experience Requirements 12+ years of hands-on experience in machine learning, computer vision, NLP, or related domains. Track record of delivering production-grade ML models and scalable AI systems. Experience with LLMs, agent-based systems, and generative AI models is strongly preferred. Responsibilities Design, develop, and deploy scalable ML pipelines across the entire lifecycle training, inference, and optimization. Build generative AI features and intelligent assistants for Adobe Express, particularly in the image editing domain. Integrate Large Language Models (LLMs) and AI agents to support dynamic and multimodal creative workflows. Collaborate across product, design, and engineering to translate user needs into AI-powered features. Architect sub-agent frameworks to modularize tasks such as content generation, smart editing, and design assistance. Contribute to experimentation infrastructure, including A/B testing, performance tracking, and continuous learning. Stay current on research in generative AI, federated learning, and optimization techniques for low-latency inference. Champion AI-first practices and mentor peers to foster a culture of experimentation, learning, and innovation. Required Skills Programming: Proficient in Python (for model development) and C++ (for performance-sensitive systems). Frameworks: Deep experience with TensorFlow, PyTorch, and modern GenAI toolkits. AI Expertise: Practical experience with LLMs, computer vision, NLP, multimodal models, and agent-based design. Systems: Proven ability to build ML pipelines at scale both in cloud and on-device environments. Preferred Qualifications Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Published research or patents in AI/ML, especially in generative modeling or AI-assisted creativity. Experience with federated learning, RAG (retrieval-augmented generation), and real-time inference optimization. Lead the development of creative AI technologies that impact millions of users globally. Work in a collaborative, inclusive, and high-performing team culture. Access world-class learning, research, and innovation resources. Enjoy excellent employee benefits, flexibility, and career growth opportunities. Adobe is proud to be an Equal Opportunity Employer. We believe that diversity makes us stronger and we encourage all qualified individuals to apply. Qualification : Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.

Position Summary The Risk Officer for the Global Service Delivery ( GSD ) centre of Allianz Partners will report directly to theGlobal Qualitative Head of Risk of Allianz Partners. The GDSs are fully fledged share services centers serving worldwide operations of Allianz Partners. Allianz Partners provides globally diverse expertise in automotive, international health & life, travel insurance, assistance and direct sales and is at the forefront of the Allianz B2B2C offering. The Risk Officer will have responsibility for the GSDs located in India, Thailand, Mexico and Brazil. They will be responsible for ensuring effective and efficient risk management processes and procedures are implemented and maintained in accordance with the Allianz Partners Global risk management framework as well as regulations in force. They will collaborate closely with first and second line of defense leaders within the GSD or across the company (as required) to ensure timely and transparent identification, assessment and mitigation of risks in the GSD as well as to ensure that the internal control system is effectively integrated within their areas of responsibility. They will provide support for internal control programs and projects designed to identify and manage significant risks related between others to: Operations, Information Technology, Legal, Regulatory and Compliance. The Risk Officer will also contribute to the Allianz Partners Global Risk Programs and, depending on the topic or seniority level of the Risk Officer, lead some of the CoCs. Responsibilities Oversee, coordinate and lead Risk management topics for the GSD, including topics across global locations as required Act as Single Point of Contact for Risk topics within the GSD Develop and maintain a good understanding of the GSD business and liaise closely with management Work with the business and provide risk expertise and consulting for projects and initiatives Support the management, monitoring and reporting business operations risks Conduct risk assessments to determine impacts of risk issues and facilitate appropriate escalation and implementation of the decisions Provide feedback to inquiries relating to risk monitoring actions Support and provide advice during decision-making processes Monitor news around market and evaluate current and potential risk exposure Identification of changing regulations and industry risk trends that may have an enterprise-wide impact Monitor the implementation and effectiveness of risk management activities Participate in the organisation, as well as lead and present topics in the relevant Risk Committee and other meetings as required Facilitate the Risk management process and provision of Risk management delivery support (this includes among others, the Top Risk Assessment and Internal Control Framework) Coordinate the effective implementation and maintaining of a network of Risk and Internal Control coordinators as well as the provision of risk training to the wider business. Promote a positive Risk Culture within the business Stakeholder Engagement Responsibilities: Practice and encourage open and effective communication internally and externally in order to build and nurture effective working relationships Lead an engaged internal control community to build strong partnerships with the business to ensure internal control processes are aligned with business needs and integrated within the organization. Develop and maintain effective working relations with internal and external parties, including but not limited to Top Management, extensive cross-functional interfaces and auditors to ensure the Internal Control Framework remains relevant and effective and provides adequate assurance. Manage and participate in the business meetings initiative with a focus on full coverage across all functions promoting the strategic business partnering ambition of the Risk function Seniority levels: Risk Officer: experience in Risk Management or relevant functions in insurance or services business and Risk Management Skills at ambition for seniority level Qualifications and Experience Required Bachelor s degree in business, finance or related field or equivalent combination of work and education experience. Risk Management or internal control accreditation or Accounting or Auditing qualification Understanding and knowledge of best practices and trends in Enterprise Risk Management and internal control frameworks. Relevant quantitative, Solvency II experience Strong IT user skills, very good user knowledge of Microsoft (Excel, Word, PowerPoint) Fluency in English Risk Management Skills at ambition level GSD Risk Officer in Global Qualitative Risk Management team The Risk Officer for the Global Service Delivery ( GSD ) centre of Allianz Partners will report directly to the Global Qualitative Head of Risk of Allianz Partners.The GDSs are fully fledged share services centers serving worldwide operations of Allianz Partners. Allianz Partners provides globally diverse expertise in automotive, international health & life, travel insurance, assistance and direct sales and is at the forefront of the Allianz B2B2C offering.The Risk Officer will have responsibility for the GSDs located in India, Thailand or Mexico and they will be responsible for ensuring effective and efficient risk management processes and procedures are implemented and maintained in accordance with the Allianz Partners Global risk management framework as well as regulations in force.They will collaborate closely with first and second line of defense leaders within the GSD or across the company (as required) to ensure timely and transparent identification, assessment and mitigation of risks in the GSD as well as to ensure that the internal control system is effectively integrated within their areas of responsibility.They will provide support for internal control programs and projects designed to identify and manage significant risks related between others to: Operatio...

Job Title: Embedded Design Researcher Advanced Robotics Location: Noida Role Overview As an Embedded Design Researcher, you will play a pivotal role in developing cutting-edge embedded systems, integrating firmware and hardware, optimizing performance, and driving innovation through design, testing, and collaboration. You will work as part of the Advanced Robotics team, contributing to groundbreaking projects such as Collaborative Robots, Quadrupeds (Trakr), Remote Ultrasound Solutions, and Bi-Ped Robots all aimed at transforming the future of robotics. Key Responsibilities Design and develop embedded hardware and software solutions, including microcontroller and microprocessor-based systems. Integrate firmware and hardware, ensuring seamless system operation. Conduct research in embedded systems focusing on algorithm development, system optimization, and performance improvements. Design and simulate circuits and PCBs. Integrate hardware components such as sensors, actuators, and communication modules. Develop low-level firmware in C, C++, and Python, with a focus on real-time performance and power optimization. Collaborate with hardware engineers, software developers, and product managers. Document research findings and contribute to technical papers or presentations. Optimize embedded systems for performance, energy efficiency, and real-time responsiveness. Conduct comprehensive testing and validation of embedded systems using automated testing frameworks and debugging tools like oscilloscopes and logic analyzers. Education & Experience PhD or Master's degree in Electrical & Electronics, Electronics & Communication, Instrumentation Engineering, Embedded Systems, Power Electronics, Robotics, or related fields. 2 to 5 years of experience in embedded system design and development. Technical Skills Strong proficiency in C, C++, and Python for embedded development. Experience with RTOS (e.g., FreeRTOS, VxWorks, or Embedded Linux). Hands-on experience with hardware design tools such as Altium, KiCad, or Eagle, along with circuit simulation. Expertise in FOC control, motor drivers, and BLDC motors. Knowledge of communication protocols (I2C, SPI, UART, CAN, Bluetooth, Wi-Fi). Familiarity with embedded boards, sensors, motors, IMUs, and actuators. Experience with embedded development environments (Keil, IAR, Eclipse). Proficiency with version control systems (Git) and issue tracking tools. Knowledge of MATLAB/Simulink for embedded system modeling and simulation. Experience in prototype development and iterative design processes. Qualification : PhD or Master's degree in Electrical & Electronics, Electronics & Communication, Instrumentation Engineering, Embedded Systems, Power Electronics, Robotics, or related fields.

Job Title: Robot AI Researcher Advanced Robotics Location: Noida Role Overview As a Robot AI Researcher, you will develop and deploy advanced AI algorithms for robotic systems, focusing on vision, perception, and motion planning. You will collaborate with cross-functional teams to optimize AI models and integrate them into real-world robotic applications. This role is part of the Advanced Robotics team, working on innovative projects like Collaborative Robots, Quadrupeds (Trakr), Remote Ultrasound Solutions, and Bi-Ped Robots all aimed at shaping the future of robotics. Key Responsibilities Design and implement AI algorithms for robotic systems, focusing on computer vision, perception, motion planning, and reinforcement learning. Develop and deploy machine learning and deep learning models (e.g., CNNs, RNNs, GANs) for applications like object recognition, path planning, and autonomous decision-making. Enhance RL/IL processes to improve sample efficiency, learning speed, and scalability. Apply reinforcement learning techniques to optimize robotic behaviors such as navigation, manipulation, and task execution. Train multimodal robot foundation models using large-scale datasets. Optimize AI models for real-time performance and deployment on robotic platforms. Use data augmentation and simulation techniques to improve model robustness. Leverage CUDA programming for GPU acceleration to enhance model training and deployment speed. Test AI-driven robotic prototypes in real-world scenarios and refine models based on performance analysis. Collaborate with hardware engineers, roboticists, and software developers to integrate AI into fully functional robotic systems. Education & Experience PhD or Master s degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields. 2 to 5 years of experience in AI research and development for robotic systems. Technical Skills Proficiency in Python, C++, and CUDA for AI development and optimization. Experience with AI frameworks and libraries like TensorFlow, PyTorch, OpenCV, and scikit-learn. Strong knowledge of reinforcement learning, deep learning, and general machine learning techniques. Familiarity with Foundation Models, Physical AI, and Visual Language Action (VLA) Models is preferred. Knowledge of robotic sensors (LiDAR, cameras, IMUs) and Robot Operating System (ROS). Hands-on experience developing real-time AI algorithms for robotic platforms. Ability to handle large datasets, perform thorough model evaluation, and optimize for computational efficiency and real-time processing. Qualification : PhD or Masters degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields.

General Skills: Excellent in reporting tools and techniques, presentation skills Strong communication skills Excellent analytical skills Strong interpersonal communication and management skills Demonstrated problem-solving skills Process improvement Strong understanding of statistics and ability to represent data effectively to higher management Roles and Responsibilities: Analyze complex business problems and determine an IT solution Gather data and analyze business and user needs Coordinate the development of documentation to enable implementation and turnover of the process of the system Implement, lead, and audit progress with the development process and quality initiatives as appropriate to the project and product needs Ownership of standards-based compliance or process improvement efforts, as required by programs and as appropriate to project and product needs Participate in and implement global software quality improvement initiatives and processes, ensuring adherence to project standards and timely, measurable results Leverage effective, clear, and timely communication via all available written and verbal forms Ensure commitments and progress to schedules remain clear, reasonable, proactively monitored, and timely reported to the Project Manager Implement development plans and coach individuals to reach their maximum potential Provide regular constructive feedback on performance/development and address poor/mediocre performance in a timely manner Regularly communicate company news and team progress against the business plan Create team spirit and coordinate between the technical team and higher management Knowledge of preparing BRD, SOW, and RFP documents Experience in writing user stories Define the objectives and scope of the business system Proactively maintain awareness of development methodology and standards to improve project, product, or process quality Conduct post-project evaluations Plan and oversee new marketing initiatives Create a detailed Scope of Work document

Roles & Responsibilities: Inspect property valuations for Commercial, Residential, and Industrial properties, verifying built-up areas (temporary and permanent) and plot areas. Finalize and ensure the accuracy of valuation reports. Analyze approved plans and bye-laws, verifying that construction adheres to approved standards. Ensure the quality of valuation reports and accuracy of estimated market values. Address client queries related to valuation reports. Adhere to bank guidelines set by risk, credit, and technical teams. Apply strategic methodologies for project appraisal. Key Skills: In-depth knowledge of Property Valuation Technical and functional expertise in valuation Strong analytical skills and experience in financial strategy Proficiency in interpreting construction plans and legal guidelines Qualifications & Experience: Education: B.Tech/M.Tech in Civil Engineering (specialization in Valuation preferred) Experience: 3 5 years in the valuation field (Candidates with experience from Banks, NBFCs, or Valuation firms are highly preferred.) Salary: 3.5 5 LPA (Negotiable for the right candidate) Location: Noida Qualification : B.Tech/M.Tech in Civil Engineering (specialization in Valuation preferred)

Job Description: The candidate will be responsible for valuating companies and assisting clients in raising capital. This includes effective underwriting, analyzing, and closing finance deals. Strong quantitative skills, sound judgment, and familiarity with underwriting procedures and regulations are essential. Excellent communication skills and adaptability to a dynamic environment are key. Role Description: Develop financial models to value debt and equity for mergers, acquisitions, and capital raising transactions. Perform various valuation methods: Comparable Companies Analysis (CCA), Precedent Transactions, and Discounted Cash Flow (DCF). Provide recommendations for product offerings, private equity transactions, mergers & acquisitions, and valuations. Prepare and review investment memoranda, management presentations, and pitchbooks. Build and maintain strong relationships with new and existing clients to expand business opportunities. Conduct due diligence, research, analysis, and documentation for live transactions. Create and deliver client presentations and portfolios. Stay updated on current events and critical market issues. Issue debt and sell equity to raise capital. Assist with corporate restructuring, IPOs, and private equity placements. Analyze risk and provide financial advice. Skills & Requirements: Strong financial modeling skills and working knowledge of deal structuring and closing principles. Proven proficiency in Microsoft Office, especially Excel and VBA. Excellent research, quantitative, and analytical skills. Strong communication, networking, and organizational skills. Ability to work in a fast-paced, team-based environment with minimal supervision. Salary: As per industry standards Location: Noida / Mumbai Qualification: Graduation / Post-Graduation in Accounts, Economics, or Finance CA, CFA, MBA (Finance) Experience: 4 5 years of relevant experience Qualification : Graduation / Post-Graduation in Accounts, Economics, or Finance