Data Pipelines Orchestration Jobs in Gurgaon

Lead DevOps Engineer Location: Gurugram, India Type: Full-Time Experience: 2+ Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software platform for financial advisors. We help top financial advisors manage and grow their clients investments through powerful digital solutions that process lakhs of transactions daily. If you want to be part of a team transforming how millions of Indians invest, this is your opportunity. Role Overview We are looking for a proactive and skilled Lead DevOps Engineer to own and improve our cloud infrastructure, CI/CD pipelines, monitoring systems, and overall deployment processes. You ll be a key player in automating workflows, ensuring production stability, and enabling our engineering team to deliver faster and more reliably. Key Responsibilities CI/CD Ownership: Manage and optimize CI tools (e.g., GitLab) and CD pipelines using Jenkins. Monitoring & Observability: Set up and maintain monitoring tools (e.g., Prometheus, Grafana, Datadog, Sentry, Elasticsearch) for logs, metrics, and traces. Automation: Write Bash/Shell scripts for deployment automation, analytics tasks, and alerting systems. System & Security: Secure environments with firewalls, VPNs, and tools like Cloudflare. Monitor system performance and address bottlenecks. Cloud & Infrastructure: Manage on-premise and cloud environments (AWS, Azure). Spin up and scale infrastructure using ELB and autoscaling. Incident Management: Conduct root cause analysis for system outages or performance issues. Database Operations: Manage permissions, performance, backups, and patching across MySQL, MSSQL, PostgreSQL, etc. Release Coordination: Work closely with developers and QA to ensure secure, smooth, and error-free deployments. Process Optimization: Define and implement efficient development, testing, release, and support workflows across environments. Required Skills & Experience 2+ years of hands-on experience in a DevOps or Systems Engineering role. Proficiency with AWS and Azure, including EC2, Load Balancers, and server orchestration. Experience with GitLab, Jenkins, and CI/CD pipeline creation. Strong knowledge of Bash scripting and automation. Experience with server migration (on-premise to cloud preferred). Proficient in configuring observability tools like Prometheus, Grafana, Datadog, Sentry, Elasticsearch. Understanding of security best practices and tools like Cloudflare. Solid database administration skills (MySQL, PostgreSQL, MSSQL). Proven track record of diagnosing and resolving production issues effectively. Nice to Have Exposure to containerization (e.g., Docker, Kubernetes). Familiarity with Infrastructure-as-Code (Terraform, Ansible). Experience working in Fintech or regulated environments. Perks & Benefits 5-day work week with flexible hours. Group medical insurance coverage up to 3 Lakhs. Free consultations with certified financial planners for your personal financial goals. Guidance and tools to help you begin your investment journey. Fun, collaborative culture with regular office activities. At Investwell, you ll be a part of the infrastructure backbone that empowers India s leading financial advisors. You'll work on real-time systems, drive mission-critical automation, and be empowered to make meaningful decisions every day. Join us to shape the future of fintech infrastructure in India.

Job Title: Senior DevOps Engineer Location: Gurugram, India Job Type: Full-Time | Permanent About G+D Giesecke+Devrient (G+D) has been a trusted global leader for over 170 years, pioneering security technologies that protect billions of people worldwide. Operating across Digital Security, Financial Platforms, and Currency Technology, G+D empowers governments, enterprises, and central banks with innovative SecurityTech solutions. Join us and help shape the future of secure payments and cash management on a global scale. Role Overview As a Senior DevOps Engineer at G+D, you will manage and optimize the development infrastructure for Compass Cash Center the leading cash center workflow platform used worldwide by banks and cash-in-transit (CIT) businesses. Your expertise will enhance our Azure DevOps-based environment, ensuring seamless build, test, and deployment pipelines across diverse platforms. You will collaborate in a cross-site Kanban team with colleagues in India and Germany to drive continuous improvement and operational excellence. Key Responsibilities Plan, build, and optimize development infrastructure leveraging Azure DevOps as the core platform. Design, implement, and manage CI/CD pipelines across Windows and Linux environments. Administer version control systems including Git and Git LFS. Manage ESXi VMware virtualization environments to automate builds and testing processes. Develop and maintain infrastructure as code using PowerShell, Ansible, and Terraform. Implement and optimize Docker containerization and deployment strategies. Integrate and manage auxiliary DevOps tools such as Nexus, Teamscale, SonarQube, and Mend.io. Monitor system performance and troubleshoot infrastructure-related issues proactively. Collaborate closely with cross-functional teams across India and Germany to ensure smooth operations. Promote and implement DevSecOps best practices to enhance security and efficiency. Required Skills & Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field. 5+ years of hands-on experience with DevOps tools, practices, and methodologies. Advanced proficiency with Azure DevOps and CI/CD pipeline implementation. Strong experience with Docker container technologies and orchestration. Skilled in scripting and automation using PowerShell, Ansible, and Terraform. Proven experience managing VMware ESXi virtualization environments. Solid understanding of DevSecOps security principles and implementation. Experience with cloud infrastructure automation using ARM Templates or Terraform. Strong problem-solving skills, self-motivated, and well-organized. Excellent communication skills in English, with the ability to work in multicultural teams. Willingness to provide support during critical Go-Live periods. At G+D, our people are our greatest strength. We foster an inspiring, diverse, and inclusive work environment where professionalism and human values thrive. Join a global leader where your work directly impacts the security of billions worldwide. Enjoy competitive benefits, professional growth opportunities, and the chance to be part of a meaningful mission. Shape the future of secure payments with G+D Apply now to become a Senior DevOps Engineer and join a truly global SecurityTech pioneer! Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.

Job Title: Computer Vision Researcher (3D) AI & Deep Learning | Spyne (Gurgaon) Location: Gurgaon, India | Work Mode: Full-Time, Onsite | Experience: 1 3 Years Keywords: Computer Vision Jobs India, Deep Learning Researcher, GAN Engineer, AI Research Jobs, ML Engineer, Generative AI Careers About Spyne Spyne is transforming the future of automotive retail with next-gen Generative AI. From AI-powered car visuals to a full-stack ecosystem for online vehicle commerce, we re enabling dealerships to create, price, and market inventory faster and smarter. Backed by $16M Series A funding from top VCs like Vertex Ventures and Accel Rapid expansion across the US and EU markets Achieved 5x revenue growth in 15 months aiming for another 3-4x in 2025 Leading the GenAI wave with AI-driven sourcing, pricing, CRM, and Agentic AI tools Role Overview: Computer Vision Engineer / Researcher We re hiring a passionate Computer Vision Engineer (3D) to join our Research & AI Product team. You ll work on state-of-the-art deep learning models especially GANs to develop and deploy scalable image processing and enhancement pipelines across automotive, e-commerce, food, and real estate domains. You ll play a pivotal role in building innovative AI-powered products that impact millions of images and videos, optimizing workflows for global businesses. Key Responsibilities Research & Experimentation Stay up to date with cutting-edge publications in AI, Computer Vision, and Deep Learning. Prototype innovative approaches from top-tier conferences (CVPR, NeurIPS, ICCV). AI Model Development & Deployment Train, fine-tune, and deploy models for image enhancement, segmentation, and classification using PyTorch/TensorFlow. Work on GAN Architectures Develop and optimize Generative Adversarial Networks (GANs) for image inpainting, background removal, super-resolution, and 3D scene generation. Scalable AI Infrastructure Collaborate with MLOps and Data Engineering teams to build robust AI pipelines on cloud platforms (AWS, GCP, Azure). Cross-Team Collaboration Work closely with Product Managers, Software Engineers, and Data Scientists to align AI capabilities with business goals. Mentorship & Guidance Contribute to a culture of innovation by mentoring junior researchers and participating in peer reviews. Requirements & Qualifications Education & Experience B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred) 1 3 years of hands-on experience in Computer Vision, AI model development, and Deep Learning Technical Skills Deep Learning Frameworks: Strong expertise in PyTorch or TensorFlow Generative Models: Proven experience with GANs for real-world use cases Programming: Proficiency in Python, plus experience in C++ or C# Image Processing Libraries: OpenCV, PIL, NumPy, Scikit-image Cloud Platforms: Hands-on experience deploying models on AWS, GCP, or Azure Research Mindset: Ability to implement novel ideas from AI research papers into practical solutions Soft Skills & Work Ethic Strong analytical and problem-solving capabilities Excellent communication and collaboration skills Comfort in a high-performance, office-first environment (5 days/week) Familiarity with Agile, Git, Jira, and collaborative development tools At Spyne, we empower careers not just fill positions. People-First Culture: Supportive team, open communication, and trust Career Acceleration: Fast growth with performance-based promotions and ownership opportunities Health & Insurance Benefits: Comprehensive GMC, GPA, GTLI coverage for employees and families Continuous Learning: Access to LinkedIn Learning, in-house mentorship, and AI research projects Work from Office Advantage: Real-time innovation, mentorship, and collaboration at our Gurugram HQ Competitive Salary + Equity: High-impact role with potential for stock options If you're excited to work on groundbreaking AI + 3D computer vision products, thrive in a startup environment, and want to shape the future of AI-powered automotive retail, we want to hear from you. Apply now and be part of Spyne s journey as we redefine how the world sees and sells cars! Qualification : B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred)

Job Title: Computer Vision Researcher Diffusion Models (Generative AI) Location: Gurugram, India | Work Mode: Full-Time, Onsite (5 Days/Week) Experience: 2+ Years in Generative AI & Computer Vision Who We Are Driving the Future of Automotive AI At Spyne, we re revolutionizing how cars are marketed and sold through cutting-edge Generative AI. What began as a bold idea to automate automotive photography has evolved into a full-stack AI ecosystem that helps dealerships sell faster, smarter, and more visually. Backed by $16M Series A funding (Vertex Ventures, Accel, and more) Expanded into US & EU markets Launched industry-first AI-powered 360 imaging solutions 5x revenue growth in 15 months, targeting 3 4x more this year Pioneering GenAI-powered sourcing, pricing, and CRM for global dealerships Role Overview: Computer Vision Engineer Diffusion Models We re hiring a Computer Vision Researcher with deep expertise in Diffusion Models and Generative AI to push the boundaries of image generation, model fine-tuning, and real-world AI deployment. This is a hands-on research and development role where you will be working with state-of-the-art techniques like Stable Diffusion, ControlNet, and Hypernetworks to build powerful production-ready AI models. Key Responsibilities Fine-Tune Diffusion Models: Optimize diffusion-based architectures for enhanced image quality, realism, and controllability. Prompt Engineering & Output Control: Refine prompt-to-image pipelines using custom prompt engineering strategies. Image Quality Enhancement: Design post-processing and ranking systems to boost visual aesthetics and accuracy. Integrate Advanced AI Models: Combine diffusion models with GANs, Transformers, and other architectures to improve creative outputs. Production-Grade Deployment: Deploy models in scalable environments using Docker, Kubernetes, and cloud services. Cross-Functional Collaboration: Work with researchers, MLOps, and product teams to bring GenAI capabilities into customer-facing platforms. Innovate Continuously: Stay at the forefront of academic and applied AI trends to bring new ideas into Spyne s AI product stack. Ideal Candidate Profile Education & Background B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field 2+ years of experience in Computer Vision, Diffusion Models, and Generative AI Technical Expertise Strong understanding of diffusion models like Stable Diffusion and Denoising Diffusion Probabilistic Models (DDPMs) Hands-on experience with ControlNet, Hypernetworks, LoRA, or similar architectures Proficient in prompt engineering and guided image generation techniques Solid foundation in image processing, deep learning, and model optimization Experience with production AI deployment, including cloud infrastructure, CI/CD, and containerization tools (Docker, Kubernetes) Programming in Python, with experience using PyTorch, TensorFlow, and relevant libraries Soft Skills & Mindset Strong analytical and debugging skills able to troubleshoot models in research and production Excellent communication able to present complex ideas simply A team-first mindset collaborative, adaptable, and ownership-driven Comfortable in a fast-paced, office-first environment focused on innovation and rapid development At Spyne, we build careers, not just roles in an innovation-first, people-centric culture. Employee Benefits & Perks Comprehensive Health & Life Insurance Full coverage for employees and dependents (GMC, GPA, GTLI) Performance-Driven Growth Merit-based career path and ownership opportunities from Day 1 Learning & Development Access to LinkedIn Learning, internal mentorship, and real-world AI challenges Office-First Culture Real-time collaboration, hands-on problem-solving, and innovation that happens faster in person Equity for Top Talent Competitive salary with stock options for high performers If you re a Computer Vision expert passionate about diffusion models, AI research, and bringing GenAI to production, Spyne offers you the platform to build, lead, and grow in one of the fastest-growing AI verticals in the world. Apply Now to be part of Spyne s GenAI journey! Qualification : B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field

Job Title: Senior Data Engineer Location: Gurugram, Haryana, India Company: Builder.ai About Builder.ai At Builder.ai, we re transforming software development so that anyone regardless of technical expertise or budget can bring their software ideas to life. From startups to global enterprises like BBC, Makro, and Pepsi, we ve empowered thousands of customers around the world. With over $450M in Series D funding, including backing from Microsoft and QIA, and recognition from Fast Company as one of 2023 s Most Innovative Companies in AI, we are scaling rapidly and redefining what s possible in software and AI. Life at Builder.ai We believe in experimentation, ownership, and constant improvement. Our team of 800+ is spread across the globe but united by our shared HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. We reward your skills with: Stock options in a hyper-growth company International offsites Unlimited learning opportunities A culture that values diversity, innovation, and impact About the Role As a Senior Data Engineer, you'll be a foundational part of our growing Data & Analytics team. We're not just building pipelines we're engineering the data backbone for an entire platform that powers AI-driven software creation, operational intelligence, and customer solutions. This role will focus on building robust, scalable, and efficient data systems, and working with Data Scientists, Analysts, and Software Engineers to ensure our data infrastructure is best-in-class. What You ll Be Doing Own and operate end-to-end data pipelines across critical business domains Optimize compute, storage, and query performance using modern big data technologies Manage and evolve our CI/CD workflows and data infrastructure Improve data accuracy, integrity, and reliability for mission-critical datasets Collaborate with cross-functional teams (Analytics, AI, Product) to deliver business value Drive best practices in data engineering, architecture, and tooling Lead projects independently while clearly communicating with stakeholders on timelines and expectations Mentor junior data engineers and contribute to a strong data culture Must-Have Experience: Expert in ETL orchestration tools (e.g., Dagster, Airflow, Luigi) Proficient in SQL databases (e.g., Snowflake, PostgreSQL) Deep understanding of big data systems (e.g., Spark, Hadoop, Hive) Strong programming in Python Experience with DBT and data modeling best practices Deep experience with cloud platforms (especially Azure) Familiarity with streaming data systems (e.g., Kafka, Kinesis) Exposure to MLOps and experience delivering clean, usable datasets to AI/ML teams Experience with CI/CD and Agile environments Nice to Have: Background in ML infrastructure or knowledge graphs Experience working in product-led B2B/SaaS organizations Contributions to open-source data tools What You ll Get Quarterly discretionary performance pay Stock options in a $450M-funded scale-up 24 days annual leave + public holidays 2 Builder Family Days + Christmas/New Year break Fully covered private medical insurance Free lunch at our Gurugram HQ Referral bonus scheme Trips abroad and global collaboration Why You Should Join If you re ready to build world-class data systems that power AI at scale, and want to help shape how software will be built in the future this is your moment. Apply today and transform the way software is created one data pipeline at a time.

Job Title: Business Development Representative (BDR) | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Department: Demand Generation Reports To: Head of Demand Generation Marketing Company: Shipsy About Shipsy Shipsy is a global leader in the logistics technology space, providing cutting-edge SaaS solutions to streamline warehousing and transportation automation. Our innovative platform empowers businesses to optimize logistics, reduce costs, and enhance customer experiences across India, the Middle East, and Southeast Asia. With over 2 million shipments processed daily and approximately 10% of India's container trade tracked on our platform, we are at the forefront of transforming logistics. Backed by investors like Peak XV Partners, Infoedge, and A91 Partners, we are rapidly expanding, with over 280+ employees across offices in Gurgaon, Mumbai, Bangalore, and Dubai. At Shipsy, we foster a dynamic, fun, and collaborative work culture that supports growth, learning, and innovation. We pride ourselves on our diverse team of individuals from top institutes and global companies, contributing to an exciting environment full of opportunity. Role Overview: Business Development Representative (BDR) As a Business Development Representative (BDR) at Shipsy, you will play a pivotal role in driving new business opportunities by actively prospecting and engaging potential clients. Your outreach efforts will be key to expanding our customer base and generating interest in our revolutionary logistics platform. If you're passionate about sales and love the thrill of connecting with new clients, this is the role for you! Key Responsibilities Outbound Prospecting Initiate contact with potential clients through cold calls, emails, and social media outreach. Create compelling messages and engage prospects to drive interest in Shipsy s innovative solutions. Lead Qualification Qualify leads by understanding the specific needs of prospects and ensuring there s a strong fit between their requirements and Shipsy s offerings. Drive potential clients through the early stages of the sales funnel. Market Research Conduct market research to identify target industries, sectors, and potential clients that will benefit from Shipsy s logistics automation solutions. Analyze and segment markets to understand which businesses are ripe for Shipsy s services. Team Collaboration Collaborate with sales and marketing teams to align strategies, share insights, and drive a cohesive approach to lead generation and customer engagement. Participate in regular team meetings to discuss performance and strategy adjustments. CRM Management Track all interactions with prospects and leads in our CRM system to ensure follow-ups are timely and accurate. Manage pipeline and maintain accurate data reporting to measure performance and conversions. Performance Metrics Track and measure the success of outbound activities, sharing key wins and lessons learned with the team to continuously improve processes. Meet and exceed monthly, quarterly, and annual targets for lead generation and conversion. Continuous Improvement Stay updated on industry trends, emerging technologies, and best practices in sales development to constantly evolve your approach. Suggest and implement improvements to optimize outreach and lead generation strategies. Qualifications & Skills Bachelor s degree in Business, Marketing, or a related field (experience in a similar role is a plus). 2-3 years of experience in outbound sales, business development, or lead generation, preferably in a B2B environment. Strong communication skills with the ability to engage prospects and build relationships over the phone, email, and social media. Self-motivated and goal-oriented with a proven ability to meet and exceed targets. Proficiency in CRM tools (Salesforce, HubSpot, etc.) and the Microsoft Office Suite. Familiarity with sales automation tools is a plus. Ability to work in a dynamic, fast-paced environment, with a strong desire to contribute to a growing company. A positive attitude, an adventurous spirit, and a passion for sales and business development. Competitive salary with performance-based incentives to reward your hard work and achievements. Opportunities for career growth and professional development in a fast-paced, innovative company. A fun, collaborative, and inclusive workplace culture where your ideas are heard, and your success is celebrated. Access to learning resources and skill development programs to continue growing professionally. At Shipsy, you re not just taking on a job you re embarking on a career path that s full of learning, growth, and innovation. If you are a go-getter, passionate about sales, and eager to make a direct impact in a rapidly growing company, then we d love to hear from you! Qualification : Bachelors degree in Business, Marketing, or a related field (experience in a similar role is a plus).

Job Title: Backend Engineer (Java/Spring) About the Role: We are looking for an experienced and highly motivated Backend Engineer to join our fast-growing startup. As a key player in our engineering team, you will work on building high-quality, scalable backend systems that power our products. You ll be solving complex challenges, writing efficient and performant code, and ensuring that our applications run seamlessly in a fast-paced environment. A Great Fit for This Role: Thrives in Startups: You re excited about working in a fast-paced, start-up environment, where you ll have the opportunity to directly impact the development of our products. Strong Analytical Skills: You have an aptitude for quickly understanding new concepts and systems, proposing and implementing solutions. Hands-On Engineer: You are passionate about backend technologies like Java and Spring Boot, and you love building resilient, performant systems. Time-Sensitive Deliveries: You have a proven track record of delivering projects in an environment where quick fixes and solutions are needed daily. Code Quality & Performance: You care deeply about code quality, performance, and execution, and you understand how to write efficient code that scales. Problem Solver: You're someone who can quickly identify issues and solve them in real-time. Key Responsibilities: Backend Development: Develop and maintain backend systems using Java/Spring Boot, ensuring scalability, reliability, and performance. API Design & Development: Design, implement, and optimize RESTful APIs to support various client needs and internal systems. Database Management: Work with relational databases (PostgreSQL, MySQL) to ensure data integrity, optimize queries, and improve system performance. Messaging & Integration: Integrate with messaging systems like RabbitMQ, Elastic Search, and Kafka for efficient and scalable data communication. Cloud Infrastructure: Work with AWS and other cloud services to deploy, scale, and manage backend applications. Continuous Integration: Implement CI/CD pipelines using tools like Jenkins, Kubernetes, etc., to ensure smooth and rapid deployment cycles. Code Quality & Testing: Write and maintain high-quality, well-tested code, ensuring reliability and resilience in production environments. Collaboration: Collaborate with cross-functional teams to design, build, and deliver robust backend systems that meet business needs. Must-Have Skills and Experience: Java/Spring Boot: 4+ years of hands-on experience in backend system development using Java/Spring Boot. Core & Advanced Java: Expert understanding of Core and Advanced Java programming. Databases: Strong experience working with relational databases (PostgreSQL, MySQL). NodeJs & MongoDB: Experience with NodeJs and MongoDB is a plus. Messaging & Stream Processing: Experience working with RabbitMQ, Elastic Search, Kafka. Cloud Computing: Experience with cloud services such as AWS. CI/CD Pipelines: Familiarity with continuous integration and deployment methodologies (Jenkins, Kubernetes, etc.). Software Design Principles: Strong understanding of software design principles, patterns, and frameworks. Linux Proficiency: Proficient in working within a Linux environment. Education: Bachelor s or Master s degree in Computer Science or related field from Tier-I/Tier-II colleges. What You ll Bring to the Team: A passion for backend technologies, especially Java/Spring, and a strong desire to build scalable, efficient systems. A deep understanding of backend development, database management, and cloud services. A focus on code quality and performance, with an understanding of Big O notation and optimization techniques. An ability to work independently and as part of a collaborative, cross-functional team. Excellent problem-solving skills and the ability to think on your feet in a high-pressure environment. Perks and Benefits: Competitive salary and performance-based incentives. Opportunity to work with cutting-edge technologies and solve complex problems. Flexible working hours and remote work options. Work in a dynamic, growth-oriented environment where your contributions make a direct impact. If you re an experienced backend engineer who thrives in a fast-paced environment and is passionate about building scalable, reliable systems, we d love to have you on board! Qualification : Bachelors/Masters degree in Computer Science from tier-I/tier-II colleges only.

About KPMG in India KPMG in India is a leading professional services firm, a member of KPMG International Limited. Established in August 1993, KPMG India is known for delivering high-quality services, supported by our global network and in-depth knowledge of local regulations, markets, and competition. With offices across key cities such as Ahmedabad, Bengaluru, Chennai, Gurugram, Hyderabad, Mumbai, Noida, and more, we provide comprehensive services to national and international clients across diverse sectors. We focus on offering industry-specific, technology-driven solutions that are rapid, performance-oriented, and rooted in our deep understanding of both global and Indian business landscapes. About Lighthouse Lighthouse, KPMG's Big Data, AI & Analytics practice, specializes in providing advanced solutions in Data Engineering, Data Science, Data Visualization, and Process Analytics. With a strong industry focus, we drive innovation and deliver transformative results for our clients. Role Overview We are seeking a skilled professional to join our team, where you will play a key role in designing, developing, and implementing enterprise-level applications using Snowflake. The role will involve working with cutting-edge data technologies to ensure the efficient flow, processing, and visualization of data. Key Responsibilities Design and Develop Snowflake Solutions: Build and deploy enterprise-scale applications leveraging Snowflake, optimizing for both performance and scalability. Create and Manage Data Pipelines: Use DBT to develop, test, and deploy data pipelines ensuring seamless data flow and processing. SQL Query Optimization: Develop and fine-tune SQL queries to enhance performance and scalability of applications. Security & Access Management: Implement identity and access management features and create robust authorization frameworks to ensure secure access controls. Troubleshoot Performance Issues: Address and resolve performance and scalability challenges within the Snowflake environment. Collaborative Solutions Development: Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver data-driven solutions. Maintenance & Improvement: Maintain and optimize existing Snowflake infrastructure and processes to ensure continued efficiency. Stay Updated: Continuously improve skills and knowledge by staying abreast of new Snowflake features and industry best practices. Qualifications Educational Requirements: BE/B.Tech/ME/M.Tech/MCA or any relevant degree. Equal Opportunity Employment (EOE) KPMG India is committed to providing equal employment opportunities to all applicants and employees, regardless of color, caste, religion, gender, age, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. We embrace diversity and encourage you to voluntarily submit demographic details to help us in our diversity initiatives. Please note that submitting this information is entirely voluntary and will not affect your application in any way. Qualification : BE/B.Tech/ME/M.Tech/MCA or any relevant degree.

About KPMG in India KPMG in India is a professional services firm, affiliated with KPMG International Limited. Established in August 1993, KPMG India leverages its global network of firms while being deeply knowledgeable about local laws, regulations, markets, and competition. We have offices across India in cities including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. Our services cater to both national and international clients across various sectors. We are committed to providing rapid, performance-oriented, industry-focused, and technology-enabled services that combine a deep understanding of both global and local industries, along with our extensive experience in the Indian business environment. Role: Snowflake + AWS Expertise Job Description: This role involves working with Snowflake and AWS platforms, focusing on providing scalable, high-performance solutions. The ideal candidate will help deliver industry-leading data solutions by leveraging these powerful platforms. Equal Employment Opportunity (EEO) Information KPMG India is an equal opportunity employer, committed to providing opportunities to all applicants and employees, regardless of color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or any other legally protected status. We value diversity and encourage you to voluntarily submit demographic information to help us with our diversity efforts. Please note that providing this information is optional and will not affect your application in any way. Qualifications: Educational Requirements: B.E. or equivalent degree. Qualification : B.E. or equivalent degree.

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

Description: Sr. Security Engineer - Application Security About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the Role: The Sr. Security Engineer will be responsible for supporting Gartner s AppSec function. This individual will play an integral role in, executing daily vulnerability Assessments functions; (ii) working closely with Information Security partners, and technology stakeholders to identify risks/vulnerabilities and collaborate with key stakeholders on remediation, developing and tracking risk/vulnerability remediation and prioritize effort across our various business units, partnering to implement security tools, technologies and controls with an appropriate balance of security, business, and user experience, while providing education and training; and engineer automation solutions and/or security tool integrations to assist with day-to-day AppSec responsibilities. What you ll do: Supports day-to-day life cycle management of identification and remediation of security vulnerabilities and threats to Gartner Systems and Data, partnering with key resources on remediation. Ability to create reasonable and actionable recommendations based on the analysis of vulnerability data and impact to Gartner s security posture. Coordinate the orchestration, automation, and management of security technologies and platforms. Own day-to-day life cycle management, including identification, threat assessment, threat modeling and risk avoidance. Apply technical expertise and skills to develop and implement solutions to meet complex business and technical requirements, working collaboratively across functional areas to turn innovative ideas into reality. Define and implement meaningful metrics to measure the effectiveness of security controls through KRIs and security scorecards. Serve as a subject-matter-expert for Application Security; act as a first point of contact for critical issues, security risk assessments and triaging CI/CD issues with Partners and stakeholders. Evaluate business and technical requirements to identify and implement tools, processes, and technologies to improve our security posture in our environments. Ensure the continuous improvement of existing compliance processes. What you ll need: Strong independent critical thinking, problem-solving skills, and the ability to consistently evaluate and pivot based on the current organizational priorities. Proven Experience Developing and maturing KPI s and Metrics to assess the effectiveness of a Application security program. Must Have: 4+ year s of Technical and Professional Expertise. Proven communication, collaboration, and critical thinking skills. Ability to define and communicate risk in a business-relevant language and to non-technical audiences. Deep technical expertise in at least one additional area of Information Security. Ability to think like a bad actor and use that context to develop threat models. Passion for finding flaws in processes and ability to efficiently communicate recommendations to fix them. Proven ability to communicate and educate Engineering and Architecture teams as to why Information Security is an important function to the business. Nice to Have: Familiarity with technical security controls, guidelines, and frameworks outlined by standards such as SOC2, ISO 27001/27013, NIST 800-53. Ability to automate tasks and code solutions to repetitive problems. Scripting or programming experience (Java, .NET, HTML, Ruby, PHP, Perl, C#, Python, JavaScript, PowerShell, Bash). Experience with penetration testing and web application assessment. Who you are: Proven communication, collaboration, and critical thinking skills. Ability to build trusting, meaningful relationships with peers, stakeholders, partners and suppliers. Ability to define and communicate risk in a business-relevant language to both non-technical and technical audiences. Ability to apply expert knowledge to solve complex business/technical issues strategically. Desire for life-long learning and continuous personal/professional development. Don t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.

Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

About Shiprocket: At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains to equip sellers with the tools they need to deliver exceptional customer experiences. What It s Like to Work at Shiprocket: At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things: Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation. Speed is Key: Make swift decisions and take action based on their potential impact. Ruthless Frugality: Be frugal, as it leads to growth and efficiency. Direct Communication: Be transparent and honest in all interactions. Sports Team Mentality: We re not a family, we re here to win as a team. Customer Obsession: Always prioritize the customer and their experience. Role Overview: We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments. Key Responsibilities: Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making. Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics. In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth. Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization. Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights. Team Development: Build and mentor a high-performing team of analysts (future expectation). Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies. Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms. Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools. Preferred Skills & Qualifications: Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment. SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes. Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights. Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges. Growth Mindset: Eagerness to learn and adapt to new challenges and technologies. Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points: Data Infrastructure: Experience in building and scaling data infrastructure and systems. Machine Learning: Experience with machine learning and predictive modeling techniques. Qualification : Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

Location: Gurugram Experience: 3-5 Years No. of Positions: 2 Job Brief We are looking for a skilled Web & Mobile Application Tester with expertise in manual and automation testing. The ideal candidate will work closely with Agile Scrum teams, ensuring the highest software quality standards across web and mobile platforms. This role requires hands-on experience in test automation, API validation, and database testing. Key Responsibilities Testing & Quality Assurance Perform Web & Mobile Application Testing using both manual and automation approaches. Conduct functional, regression, UI/UX, API, and database testing to ensure product reliability. Develop comprehensive test plans and strategies in alignment with Agile best practices. Lead testing efforts across multiple products, ensuring quality compliance. Test Automation Develop, maintain, and execute automated test scripts using: Selenium (Java) Web testing Playwright (JavaScript) UI automation Appium Mobile application testing Automate API testing using tools like Postman & Rest Assured. Conduct database testing using MongoDB queries to validate data consistency. Collaboration & Continuous Improvement Work within Agile Scrum teams, integrating quality assurance early in the SDLC. Participate in requirements and design reviews to ensure testability and user alignment. Enhance automation frameworks, optimize execution suites, and expand test coverage. Provide technical guidance and work closely with the Customer Success team to resolve escalations. Monitor release quality criteria and provide objective assessments before deployment. Skills & Qualifications Must-Have: Strong experience in manual and automation testing for web & mobile applications. Hands-on expertise in Selenium (Java), Playwright (JavaScript), Appium (Mobile). Proficiency in API testing using Postman, Rest Assured. Experience in database testing with MongoDB queries. Understanding of Agile methodologies and test-driven development. Ability to lead and manage testing efforts for multiple products. Strong analytical, problem-solving, and communication skills. Good to Have: Experience in the logistics and transportation domain is a plus. Prior experience with CI/CD pipelines and DevOps integration. Knowledge of performance and security testing tools. Join our team and play a key role in delivering high-quality web and mobile applications!

Position: Alpha Gen Product Engineer Job Overview: At BlackRock, we are seeking Software Engineers who thrive in innovative environments and enjoy solving complex challenges. This is an opportunity to work with cutting-edge technology and impact the financial markets through our Aladdin investment operating system, which powers decision-making for thousands of users worldwide. The Alpha Gen Technology group (AGT) is focused on enabling market-leading performance for BlackRock's investment teams. Join a team of innovators to work on next-generation technology in the quantitative and investment space. About Aladdin and Aladdin Engineering: Aladdin is BlackRock s investment operating system, used by financial institutions worldwide. It integrates sophisticated risk analytics, portfolio management, trading, and operations tools into one platform. The Aladdin Engineering group develops and maintains this platform, building tools that manage trillions in assets and support millions of financial instruments. Your Role and Impact: As an Alpha Product Engineer in the Alpha Gen Platform team, you will develop a cloud-first platform used for both quantitative research and production systems. You will be involved in the full lifecycle of the platform, from design and architecture to development, implementation, production support, and maintenance. Your Responsibilities: Build a groundbreaking, high-quality Alpha Gen platform to meet the data and quantitative needs of research and production. Prototype new alpha-enabling technology. Migrate large amounts of critical data to cloud-native data stores like Snowflake and Azure Blob Storage. Understand and address scale challenges in data access and persistence in ingestion pipelines. Work with modern data lakes, structured file formats, containers, and orchestration ecosystems. Partner with other engineering teams at BlackRock to integrate with Aladdin. Qualifications and Skills: 8+ years of proven experience in software engineering. Excellent coding skills in Python; knowledge of Scala or Java is a plus. Experience with distributed technologies like Spark, Dask, or Kubernetes. Desire to build expertise in cloud-native technologies and applications deployed to cloud infrastructure. Familiarity with agile practices, test automation, pipelines, release management, and deployment strategies. Good understanding of the modern data ecosystem Snowflake, Apache Iceberg, Parquet formats, object stores (S3, Azure Blob Storage), and orchestration systems (Airflow, Prefect). A curiosity and passion to learn new technologies. Strong interpersonal skills to work effectively in a collaborative team environment. A deep understanding of the modern data and quantitative ecosystem. How to build a platform that enables alpha generation at scale. Experience with Aladdin the investment platform used to manage over $15 trillion in global assets. How to apply enterprise integration patterns and data science technology to enable alpha generation. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office. About BlackRock: BlackRock is dedicated to helping people experience financial well-being. Our clients rely on us to support their financial goals, including saving for retirement, funding education, and growing their businesses. We invest in our employees by fostering an environment where they feel welcomed, valued, and supported with networks, benefits, and development opportunities to thrive.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

We are seeking a highly experienced Senior Snowflake Data Engineer to join our team. The ideal candidate will be responsible for designing and implementing robust data solutions within Snowflake, ensuring they are efficient, secure, and scalable. Responsibilities Engage in Snowflake data modeling to create and maintain optimized models tailored for data ingestion and analytical needs Develop and sustain ETL pipelines to consolidate data from diverse sources into Snowflake while preserving data integrity Fine-tune the performance of Snowflake deployments, optimize storage usage, and manage data partitioning for prompt and reliable data access Establish strong data security measures, implement role-based access controls, and apply data masking techniques to uphold data governance standards Leverage tools like dbt and Apache Airflow for scheduling and automating data processes and pipeline surveillance Cooperate closely with cross-functional teams including data scientists and business analysts to solve intricate data issues and carry out effective troubleshooting Create detailed documentation and reports on data architectures, ETL processes, and system operations to facilitate clear communication and knowledge sharing across the organization Requirements 5-8 years of experience in a data engineering role Background in information warehousing with AWS or Azure, utilizing DBT, Snowflake Proficiency in Python programming, workflow management tools including Argo, Oozie, or Airflow Snowflake modeling fundamentals like roles, schema, and databases Competency in data vault modeling, designing, and developing data transformation pipelines using DBT We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of experience in a data engineering role

Company Overview: American Express is committed to providing the world s best customer experience every day. The Global Servicing Group (GSG) is central to fulfilling this mission, with over 36,000 team members working across various lines of business, including Customer Engagement, Merchant Services, Credit & Fraud. Within this structure, the Global Capacity & Contact Management (GCCM) team works towards optimizing resources and maintaining consistent customer service levels globally. Role Overview: The Planning & Data Intelligence (PDI) team within GCCM plays a pivotal role in supporting global reporting and analytics. This role involves automating, standardizing, and enhancing the reporting ecosystem to enable better decision-making through data-driven insights. The role will also involve creating a more efficient process for managing large and multiple data sets and collaborating with business partners to drive the future of reporting within the organization. Key Responsibilities: Define Data Architecture Strategy: Contribute to the development of the data architecture strategy and roadmap to enhance the PDI data ecosystem. Automation & Standardization: Analyze the current reporting structure within GCCM and work towards automating and scaling it through self-service functionalities, especially using Tableau. Reporting Innovation: Collaborate with internal partners to create new reporting dashboards within Tableau and other platforms, ensuring better self-service and efficiency. Analytics & Problem-Solving: Leverage your strong analytical skills to solve both practical and theoretical business challenges, applying machine learning, data mining, and statistical analysis techniques. KPIs & Performance Metrics: Develop and manage key performance indicators (KPIs) to promote efficiency, drive awareness, and improve reporting systems across teams. Reporting to Leadership: Provide on-demand reporting and insights to senior leadership, helping them make informed decisions. Dashboard Development & Adoption: Coordinate the development and testing of new dashboards, ensuring data validation and documentation. Assist in training teams to adopt these tools effectively. Innovation & External Research: Continuously seek new ideas and innovations from external sources to bring best practices into the team s work. Required Qualifications: Educational Background: Bachelor's degree or equivalent combination of education and work experience. Technical Expertise: Expert knowledge in VBA, SQL, Cornerstone, Hive, and Python. Familiarity with workforce management KPIs and Tableau for report building is a plus. Data Analysis & Manipulation: Experience using SAS, Big Data analytics, and statistical software for data analysis and manipulation. Problem-Solving & Analytical Skills: Strong ability to perform deep dive analyses of business metrics, providing actionable solutions and recommendations. Call Center Management Expertise: In-depth understanding of call center principles and how they impact operations. Adaptability & Communication: Ability to work in a fast-paced environment with changing demands, managing multiple tasks effectively. Exceptional written and verbal communication skills in English. Collaboration Skills: Strong interpersonal skills to collaborate and influence across different organizational levels and teams. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (dependent on location). Flexible Working Arrangements: Hybrid, onsite, or virtual options depending on role and business needs. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness & Support Programs: Access to global wellness centers and confidential counseling support through the Healthy Minds program. Career Growth Opportunities: Continuous career development and training opportunities. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelor's degree or equivalent combination of education and work experience.

The Team: The OSTTRA Technology team comprises professionals specializing in Capital Markets Technology, building, supporting, and securing applications that power our network. The technology landscape includes high-performance, high-volume applications, leveraging contemporary microservices and cloud-based architectures. The Impact: As a member of the OSTTRA Technology team, you will play a critical role in designing, building, and maintaining platforms that process over 100 million messages daily. Your work supports the automated trade processing across global capital markets, ensuring efficient settlement and compliance with regulatory requirements. What s in it for You: This role offers an opportunity to work with a highly motivated and dynamic team in Gurgaon, collaborating with colleagues across multiple global regions. You will have the chance to leverage your 12-15 years of experience in platform engineering and help shape the future of our expanding portfolio of Financial Services clients. Key Responsibilities: Platform Architecture: Design and architect scalable, resilient, and high-performance platform infrastructure for financial services. Team Leadership: Lead, mentor, and guide a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement. Agile Project Delivery: Implement Agile methodologies (Scrum, Kanban) for efficient project delivery and task management. Automation & Optimization: Implement automation tools and scripts (e.g., Terraform, Ansible) to streamline infrastructure provisioning, deployment processes, and optimize cloud resource utilization. Security & Compliance: Enforce security best practices, conduct security audits, and ensure compliance with industry standards. Performance Optimization: Monitor platform performance, identify bottlenecks, and implement optimization techniques for better scalability and response times. Cloud Integration: Leverage cloud platforms (AWS, Azure, GCP) for scalable solutions and cost-efficiency. What We re Looking For: Experience: 15+ years of platform engineering experience, preferably in the Fintech industry. Cloud Expertise: Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Automation Skills: Proficiency with automation tools like Terraform, Ansible, and CI/CD pipelines (Jenkins, CircleCI). Agile Expertise: Deep understanding of Agile methodologies (Scrum, Kanban) with hands-on experience in Agile project delivery. Security & Compliance: Expertise in implementing security best practices and ensuring platform compliance. Additional Skills: Experience with serverless computing, microservices architecture, data engineering, and data pipelines. Cloud and Agile certifications (e.g., AWS, Azure, CSM, PSM) are preferred. As part of OSTTRA, you will be at the forefront of driving post-trade innovation and efficiency within the global financial markets. This is an excellent opportunity to contribute to a dynamic, evolving organization and work on cutting-edge platform technologies. Qualification : Proficiency in infrastructure automation tools (e.g., Terraform, Ansible).

Job Description You will: Define strategies and act to generate long term and short-term customer success and business results. To exceed quarterly sales targets by selling On-Premises Technology software and Oracle PaaS/IaaS into named accounts and/or within an assigned geographical or vertical market. Own the entire sales process to ensure delivery against key performance metrics, with a strong emphasis on new business sales, while growing existing accounts. Territory identification and research, to formalize a go to market territory strategy and build a qualified pipeline within 90 days. Pipeline development through a combination of use case development and industry knowledge/intelligence. Adequate pipeline to ensure over-achievement within the designated territory. Engage with prospect organizations to position the Oracle solution through value-based selling, case definition, return on investment analysis, references, and analyst data. Handle the end-to-end sales process through engagement of appropriate resources such as Pre-Sales Consultants, Business Development Consultants, Oracle Consulting, Executives and Partners etc., and through effective utilization of selling tools such as Engineered selling process (ESPs), Customer 360, etc. Daily update of Oracle Sales Cloud system with accurate customer and pipeline data. Accurate forecasting and revenue delivery. Continuous improvement in self-research, learning and readiness on the new product offerings Career Level - IC4 Responsibilities Primary job duty is to sell technology software products and related services in a defined territory. Identifies, qualifies and closes new opportunities. Handle accounts including the entire sales process from business development prospecting and specifications through contract negotiations, signing, and post-sales support. Leverages the Oracle sales model to improve revenue growth and increase local market share. Builds and expands business partner revenue and self-sufficiency! We also look for: Shown experience (12-15 years) in selling enterprise software solutions or services to Government/Public Sector customers. Successful history of net direct new business sales, with the ability to prove consistent over achievement against targets. Ability to build reciprocal relationships with different parts of the business, partners and customers and identifies alignments across LOBs and acts on opportunities to integrate business, with credibility at all levels, including Lines of Business and CxOs. Validated understanding of the IT industry Cloud landscape and market. Proficiencies in building value proposition and positioning strong proposals. Strong listening skills with confirmed ability to communicate across all levels and optimally adapts to multifaceted situations. Be creative with strong problem-solving skills and the ability to adapt and succeed in a fast paced and ambiguous environment. Confirmed ability to work well as part of an extended sales team. Life at Oracle and Equal Opportunity An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to thrive in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.