Loan Processing Jobs in Bengaluru

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

Data Engineering Lead Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. FamApp enables seamless online and offline payments through UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early, becoming financially aware and confident. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About the Role We re looking for a visionary **Data Engineering Lead** to take **end-to-end ownership** of Fam s data ecosystem from data ingestion and storage to processing and delivering actionable insights. You ll **define the data strategy and architecture** that supports both batch and **real-time** use cases, ensuring scalability, reliability, and governance across the organization. You will be instrumental in enabling accurate, complete, and trusted data flow that powers business intelligence, analytics, and product decision-making. This role involves **leadership, strategic thinking**, and hands-on problem solving. What You ll Do Own the full data lifecycle: ingestion, organization, storage, processing, and presentation. Define and execute **data architecture and strategy** aligned with operational and analytical goals. Build **scalable, reliable, and observable data systems** supporting batch and near real-time processing. Ensure **data quality, governance, and compliance**, proactively resolving discrepancies. Collaborate with product, engineering, and business teams to define, track, and optimize key metrics. Anticipate data-related challenges and implement preventive solutions. Lead, mentor, and grow the data engineering team, fostering innovation and accountability. Must-Haves 10+ years experience in data engineering, including proven leadership of teams or projects. Expertise designing, building, and scaling end-to-end data pipelines and systems. Deep understanding of the data lifecycle, from ingestion through business reporting. Strong communication skills and ability to collaborate across technical and business teams. Solid knowledge of **data governance, quality assurance, and compliance standards**. Experience with observability and proactive monitoring for data systems. Proficiency in Python and SQL; familiarity with Scala or Java. Hands-on experience with streaming and batch data frameworks. Experience designing large-scale data lakes and warehouses with best practices for schema evolution and partitioning. Strong background with **cloud platforms (AWS, GCP, or Azure)**. Fintech or regulated industry experience is a plus. Good to Have Fintech-specific data experience, including regulatory compliance and reporting. Deployment experience with **real-time analytics** and event-driven architectures. Familiarity with containerization and infrastructure tools like Docker, Kubernetes, Terraform. Knowledge of data observability tools (Monte Carlo, Databand, etc.). Exposure to **ML pipelines** and model deployment. Solve challenging problems at the intersection of big data, real-time processing, and fintech. Lead impactful data initiatives at a rapidly growing startup. Collaborate with a world-class team of engineers, data scientists, and product leaders. Competitive compensation, equity, and benefits. Clear career growth opportunities in leadership and innovation. Perks That Go Beyond the Paycheck Relocation assistance for a smooth move. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan policies for financial support. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance with mental health support. Tax benefits like food coupons, phone allowances, and leasing options. Retirement benefits including PF contribution, leave encashment, and gratuity. About FamApp FamApp focuses on financial inclusion for the next generation by offering UPI and card payments to users aged 11+. Our flagship product, FamX, integrates UPI and card payments seamlessly, helping users manage, save, and learn about their finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact eliminating the need to carry cash and offering customizable FamX cards with personal doodles for a fun, unique payment experience. Join Our Dynamic Team At Fam, we foster a people-first culture with flexible work schedules, generous leave, comprehensive health benefits, and mental health support. You ll be part of a passionate, talented, and fun team shaping the future of fintech for India s youth.

Associate Credit Operations Job Type: Full-Time Category: Operations Location: Bangalore About Bright Bright is a consumer fintech company dedicated to helping Americans get out of debt using advanced data science and machine learning. Our mobile app integrates all the tools needed for managing and eliminating debt covering credit score building, automated debt paydown plans, financial and budget planning, and loan refinancing across credit cards, student loans, and car loans. With 300,000+ users, 6x growth in the last year, and over 100,000 ratings and reviews, Bright is one of the fastest-growing fintech platforms in the U.S. Supported by top venture capital firms like Sequoia, Falcon Edge, and Hummingbird, Bright has raised over $40 million in funding, including a recent $50M debt financing from Encina Lender Finance. Bright is ranked among the top 8 U.S. fintech companies and is poised to become a top-100 financial institution by leveraging data science and predictive modeling. We are proud to be building the first large-scale consumer tech company from India for global markets. About Our Founders Bright was founded in 2019 by industry veterans from McKinsey s Banking Practice and data scientists from InMobi: Petko Plachkov, Avi Patchava, Varun Modi, Avinash Ramakath, and Jayashree Merwade. Role Overview As an Associate Credit Operations professional, you will play a crucial role in assessing creditworthiness, supporting loan underwriting and approval, and ensuring smooth credit operations. You will work closely with cross-functional teams to monitor credit metrics, facilitate collections, and drive improvements in operational efficiency. Key Responsibilities Conduct thorough creditworthiness assessments following company policies and guidelines. Review customer profiles and credit applications against underwriting standards. Manage loan approval processes and support decision-making with sound judgment. Utilize collection systems to assist in managing delinquent accounts and dues recovery. Monitor and report on credit-related performance metrics regularly. Handle customer conflicts and disputes with a strong customer-centric approach. Investigate customer requests by gathering relevant data and exploring all information sources. Identify opportunities for process improvements to increase efficiency and effectiveness. Collaborate with teams to ensure compliance with credit policies and regulatory requirements. 1-2 years of experience in credit assessment, underwriting, or a related role. Strong understanding of credit product workflows and end-to-end process flows. Familiarity with credit risk assessment principles and banking domain knowledge. Knowledge of the U.S. credit environment and regulatory framework is a plus. Excellent verbal and written communication skills. High analytical and investigative capabilities. Ability to manage credit-related metrics and performance indicators. Strong negotiation, interpersonal skills, and ability to handle conflicts diplomatically. Join a fast-growing fintech startup backed by leading investors. Gain exposure to credit operations and risk management in a global context. Work alongside experienced professionals passionate about transforming consumer finance. Opportunity to grow within a dynamic, collaborative environment.

Job Title: Manager - Data Analytics, Credit Card Portfolios Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a next-gen banking technology company empowering banks and fintechs to build the future of financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform Zeta Tachyon is a cloud-native, fully API-enabled banking stack powering issuance, processing, lending, core banking, fraud & risk, and more. Over 20 million cards have been issued globally through our platform. With 1,700+ employees across the US, EMEA, and Asia and 70%+ in R&D, Zeta is backed by SoftBank, Mastercard, and others, having raised $330M at a $2B valuation in 2025. We work with leading banks and fintechs worldwide to transform multi-million card portfolios. Role Overview: We are looking for a strategic and experienced Manager - Data Analytics to lead business intelligence and enterprise reporting for global fintech portfolios including Credit Cards, Deposits, and other financial products. This role involves managing a team of analysts, leveraging multiple data lakes and warehouses, and building a scalable, comprehensive reporting framework for diverse markets including the US, UK, and India. Key Responsibilities: Enterprise Reporting & Data Architecture: Design and maintain end-to-end reporting across the customer lifecycle: acquisition, activation, usage, delinquency, collections, retention, operations, and support. Deliver accurate analysis of key financial KPIs: revenue, profitability, credit risk, defaults, acquisition cost. Build dashboards, self-service BI tools, and automated pipelines using Apache Superset, Metabase, Tableau. Optimize data storage and reporting for scalability and cost-efficiency. Data Integration & Analytics Execution: Collaborate with vendors and internal engineering to integrate data from credit bureaus, open banking, core banking, card and payment processors, loan origination, CCaaS, and aggregators into a centralized Data Lake. Business Intelligence & Growth: Lead analytics projects to uncover user behavior, optimize acquisition channels, underwriting, and portfolio performance via segmentation, cohort, and funnel analyses. Partner with Product and Marketing teams to evaluate experiments (A/B testing) and guide roadmap decisions. Leadership: Build, mentor, and lead a high-performing team of BI analysts and data visualization experts. Data Governance: Establish and enforce data governance best practices, ensuring compliance and data security. Skills & Experience: Expert in BI tools such as Apache Superset, Metabase, Tableau; strong SQL skills. Familiarity with cloud data platforms like Snowflake, Redshift, BigQuery. Deep knowledge of credit and fintech KPIs: acquisition, credit decisioning, delinquency, repayment, charge-offs, profitability, RoA, CLTV, etc. Proven leadership experience managing analytics teams and scaling reporting infrastructures. Excellent communication skills with the ability to translate complex data into business strategies. Knowledge of data governance, privacy, and security in financial services. Qualifications: 10+ years in Business Intelligence/Analytics with 3+ years in the credit card industry. 3+ years managing teams of analysts or data professionals. Bachelor s degree in Computer Science, Engineering, Statistics, or a related field. Equal Opportunity: Zeta celebrates diversity and is an equal opportunity employer. We are committed to fostering an inclusive environment and encourage candidates from all backgrounds to apply. Qualification : Bachelors degree in Computer Science, Engineering, Statistics, or a related field

Deputy Manager Mortgage Sales Location: Bangalore Experience Required: 4 6 Years Employment Type: Permanent Functional Area: Team Leader Non-Technical Role Summary: We are looking for an experienced and performance-driven Deputy Manager Mortgage Sales to lead a high-performing sales team focused on home loan products. This role requires strong leadership capabilities, relationship management skills, and a solid understanding of mortgage sales processes. The candidate will be responsible for driving business growth through team management, source development, and effective coordination with internal and external stakeholders. Key Responsibilities: 1. Area / Geography Mapping Allocate sales territories and geographies to team members Work closely with the team to ensure proper mapping and coverage Conduct periodic audits and reviews; share progress updates with senior management 2. Source Relationship Management Maintain and strengthen relationships with all sourcing channels in the assigned geography Support the team in building a reliable source base for consistent business generation 3. Sales Coaching & Joint Calls Conduct daily joint calls with team members for sales and source visits Provide on-the-ground coaching and mentorship during client interactions 4. Channel Partner Recruitment Validate and empanel channel partners as per organizational standards Ensure performance monitoring and active engagement with onboarded partners 5. Team Huddles Organize and lead daily team huddles to align objectives, review targets, and share updates 6. Weekly Review & Reporting Drive weekly reviews using goal sheets and ensure completion of Sales Patri II Monitor team performance and implement action plans to meet business targets 7. HSPL Hub Coordination Liaise with the credit and operations team on logged-in loan applications Update team members regularly on application status and feedback Desired Candidate Profile: Educational Qualification: Graduate in any discipline (MBA preferred) Experience: 4 6 years in sales, with at least 1 year in a team leadership role Industry Experience: Prior experience in home loan or mortgage sales is highly desirable Strong interpersonal, team management, and stakeholder engagement skills Proactive, target-oriented, and well-organized professional Qualification : Graduate in any discipline (MBA preferred)

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Job Title: Assistant Manager Process Design Location: Bangalore, India Employment Type: Full-time About Zeta Zeta is a Next-Gen Banking Tech company empowering banks and fintechs to launch modern, cloud-native financial products at speed and scale. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform, Tachyon, is the world s first modern, API-first banking stack supporting issuance, processing, lending, core banking, fraud, risk, and more all under one roof. With over 15 million cards issued on its platform globally, Zeta partners with leading banks and fintechs to deliver digital-first experiences, hyper-personalized programs, and rapid product innovation. We are a global team of 1700+ employees, with more than 70% dedicated to R&D, and are backed by major investors including SoftBank and Mastercard, with a valuation of $1.5 billion. Role Summary Zeta is seeking a driven and analytical Assistant Manager Process Design to spearhead customer journey improvements and process automation. You will be responsible for transforming customer-facing processes to enhance user experience, improve operational efficiency, and contribute to strategic initiatives across Product, Engineering, and Operations teams. Key Responsibilities Process Automation & Transformation: Identify improvement areas, create transformation roadmaps, and implement automation strategies to enhance service delivery. Customer Journey Mapping: Design chatbot flows and other digital experiences to ensure seamless, intuitive customer interactions. Continuous Improvement: Evaluate and re-engineer existing workflows to increase First Time Resolution (FTR), reduce Average Handling Time (AHT), and drive CSAT. Monitoring & Proactive Support: Establish early-warning systems and collaborate cross-functionally to prevent and address service issues. Voice of Customer (VOC): Build robust VOC mechanisms by analyzing feedback from email, chat, NPS, social media, etc., to drive actionable improvements. Strategic Initiatives: Lead cross-functional initiatives with Product, Engineering, and Business Ops to elevate customer experience and operational excellence. Project Reporting: Deliver timely and detailed project updates and reports to stakeholders and leadership. Skills & Competencies Experience in Process Design, Process Excellence, Automation, or Operational Excellence. Prior work with Customer Support teams and KPIs like CSAT, AHT, FTR, Reopens, and First Response Time. Proficiency in Microsoft Excel and PowerPoint for analytics and presentations. Working knowledge of Six Sigma (preferred: Black Belt), Lean methodologies, and digital tools. Familiarity with AI, chatbots, workflow tools, and digital customer experience technologies. Strong analytical thinking, decision-making, and stakeholder management skills. Exceptional communication skills, both verbal and written. Qualifications & Experience Education: BE/B.Tech or Postgraduate/MBA from a recognized institution. Experience: 2 4 years in a relevant role involving process optimization or customer journey transformation. At Zeta, we believe People Must Grow. You ll work with brilliant minds, cutting-edge technologies, and game-changing products. Our culture promotes innovation, continuous learning, and an inclusive workplace where every individual is valued. Equal Opportunity Statement Zeta is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees regardless of background, gender, religion, ethnicity, or identity. Qualification : BE/B.Tech or Postgraduate/MBA from a recognized institution.

Position: Application Engineer, Analog & Power Job Overview: We are seeking an Application Engineer specializing in Analog & Power to join our team. In this role, you will provide advanced engineering design services and support to the regional engineering team, with a focus on power electronics and analog engineering solutions. You will be responsible for hardware engineering support, including PCB design and review, electronic simulations, and laboratory analysis, all while ensuring compliance with industry standards and customer specifications. Key Responsibilities: Provide advanced engineering design and support for power electronics and analog systems, assisting the regional engineering team. Conduct hardware engineering tasks, including PCB reviews, electronic simulations, and using lab equipment such as PCBA rework tools and oscilloscopes for product development. Lead PCB design from initial concept (block diagrams) to part selection, schematics, layout, Gerber files, and prototype testing. Develop clear and concise technical documentation, such as whitepapers, technical reports, and internal training materials. Support the development and validation of reference designs to meet customer specifications. Ensure that all designs comply with relevant industry standards and customer specifications. Attend technical and sales training to stay up to date with current technologies and trends. Maintain accurate documentation of engineering designs and solutions for future reference. What We Are Looking For: Bachelor s Degree or higher in Electronics, Electrical Engineering, Computer Science, or a related field. At least 7 years of experience in electronics/semiconductors, power management, and analog product design. Strong technical expertise in power conversion topologies (DC-DC, AC-DC, DC-AC). Experience working with WBG (Wide Bandgap) devices such as SiC and GaN. Solid experience with electrical instrumentation, including Op-Amps, signal conditioning, sensors, and data acquisition systems. Familiarity with industry standards and compliance (e.g., IEC, UL, ISO) for high-power systems. In-depth understanding of EMI/EMC standards and mitigation techniques for high-power designs. Experience in reference design development, validation, and component optimization. Strong communication and interpersonal skills to collaborate effectively with internal teams and customers. A passion for innovation and a commitment to delivering high-quality engineering solutions. What s In It For You: Access to training and professional development opportunities. Performance coaching and growth support. The chance to work with a fun and supportive team. Opportunity to be part of a growing and strong company. Community involvement opportunities. About Arrow: Arrow Electronics, Inc. (NYSE: ARW), a Fortune 133 company and one of Fortune Magazine s Most Admired Companies, is a global leader in technology solutions. With 2023 sales of USD $33.11 billion, Arrow develops innovative technology solutions that improve business and daily life. Our broad portfolio helps customers create, make, and manage forward-thinking products that make technology accessible to more people. Location: Bangalore, India Employment Type: Full-time Job Category: Engineering and Technology Qualification : Bachelors Degree or higher in Electronics, Electrical Engineering, Computer Science, or a related field.

Job Description: Site Reliability Engineer - OCI Cloud Engineering Team Role: Site Reliability Engineer (SRE) Team: OCI OLTP (Online Transaction Processing) Location: Kiev Career Level: IC2 Experience: 5+ years Overview: Oracle Cloud Infrastructure s (OCI) OLTP organization is seeking a Site Reliability Engineer (SRE) to join our dynamic and fast-paced Cloud engineering team. The team is responsible for mission-critical distributed systems and cloud services, and we are looking for an engineer who is deeply interested in databases, distributed systems, and cloud services. If you thrive in an environment where innovation, problem-solving, and operational excellence intersect, this is an exciting opportunity for you! As a member of the SRE services, you will focus on Cloud Services, building deployments, operations, security vulnerability mitigation, and automation. You will be instrumental in fostering a culture of Site Reliability Engineering (SRE) within the team, and your work will directly contribute to ensuring the stability, performance, and reliability of Oracle s global cloud service infrastructure. This role requires someone who is adaptable, highly motivated, and capable of managing large-scale cloud environments with a focus on continuous improvement. Key Responsibilities: Cloud Service Operations & Reliability: Deploy, operate, and maintain large-scale cloud service products in a highly available, fault-tolerant, and scalable environment. Collaborate with internal teams to identify and mitigate cross-team issues that pose operational risks to cloud services. Focus on systems reliability and ensure the continuous availability of cloud services by automating tasks and eliminating manual interventions. Automation & Improvements: Automate operational tasks and improve service deployments, focusing on scaling, performance, and uptime. Contribute to CI/CD systems, ensuring seamless integration and continuous delivery for cloud-based services. Leverage automation tools such as Terraform, Grafana, and Bitbucket to streamline operations. Security & Incident Response: Mitigate security vulnerabilities within cloud services and ensure compliance with Oracle's security standards. Participate in on-call rotations to provide immediate troubleshooting support and ensure rapid issue resolution. Perform deep analysis of service performance and collaborate with team members to diagnose and resolve issues that affect service availability or performance. Collaborative Problem-Solving: Work closely with cross-functional teams, including development, database, networking, and storage experts, to ensure the reliability and performance of services. Identify systemic issues and potential risks, develop solutions, and ensure proper documentation and communication with stakeholders. Documentation & Knowledge Sharing: Contribute to documentation such as runbooks, operational guides, and troubleshooting manuals. Mentor junior engineers and share knowledge on best practices for site reliability engineering and cloud service operations. Continuous Learning: Stay up to date with new cloud technologies, trends, and best practices, and actively implement them in your day-to-day work. Technical and Professional Requirements: Cloud Services & Infrastructure: 5+ years of experience in SRE, DevOps, or Automation roles with a focus on large-scale infrastructure and cloud services. Hands-on experience with cloud platforms (e.g., OCI, AWS, Azure) and expertise in compute, database, networking, and storage services within cloud environments. Automation & Tooling: Proficiency with automation tools such as Terraform, Grafana, LumberJack, and Shepherd. Solid experience in using CI/CD tools and processes for cloud service deployments and operations. Scripting & Systems: Strong knowledge of scripting languages, particularly Python and Java. Familiarity with Linux systems, docker containers, virtualized infrastructure, and orchestration (e.g., Kubernetes). Performance & Troubleshooting: Excellent troubleshooting skills with a focus on performance, availability, reliability, and scalability of distributed systems. Experience in operating fault-tolerant, highly available, high-throughput distributed systems. Security & Incident Management: Familiarity with security practices and mitigating security vulnerabilities in cloud services. Proven ability to handle incident response and provide efficient troubleshooting during on-call rotations. Collaboration & Communication: Strong verbal and written communication skills, capable of working effectively with diverse teams across multiple geographies. Ability to work in a highly collaborative environment, driving operational excellence and customer satisfaction. Preferred Qualifications: Experience in operating and maintaining multi-tenant, cloud-based infrastructure with a focus on scalability and high availability. Familiarity with tools and platforms like Grafana, Prometheus, and other observability and monitoring tools. Experience in networking and storage technologies in a cloud environment. Joining OCI s OLTP team as an SRE gives you the opportunity to work with cutting-edge technologies and contribute to the operational excellence of Oracle s global cloud infrastructure. This is a chance to grow your skills in a highly dynamic environment and to solve complex problems that directly impact mission-critical cloud services. With a focus on automation, scalability, and high performance, you will be an essential part of a team that powers Oracle s leading cloud services. If you are an experienced engineer passionate about cloud technologies, automation, and ensuring the reliability of large-scale systems, we encourage you to apply and join us in this exciting journey!

Creative Lead Company Description: Captain Fresh is a tech-led, vertically integrated global powerhouse of multi-species seafood brands. Founded in 2020 and headquartered in Bengaluru, India, Captain Fresh s brand portfolio includes CenSea, Ocean Garden in the US, SuperFish in Poland, and Senecrus in France. As a creative leader, you will play a pivotal role in shaping and elevating the brand identity across multiple markets, ensuring consistency, storytelling, and engagement across digital, print, and experiential channels. In a world where technology has reshaped the core of every industry, Captain Fresh leads the charge in bringing tech-led innovation to the highly fragmented and traditional seafood sector. The group vertically integrates key nodes of the seafood value chain procurement, processing, distribution, and retail across species, enabling high standards of traceability and sustainability through its proprietary tech platforms. The flagship multi-species, multi-origin conglomerate sources and distributes over 100 species of seafood across 30 countries worldwide. Unified in purpose, Captain Fresh is committed to nourishing the world with responsibly sourced seafood, empowering communities, and protecting ecosystems through innovation and foresight. Job Description: As the Creative Lead at Captain Fresh, you will shape and elevate the brand identity across multiple markets. You will ensure the consistency and effectiveness of brand storytelling, leading creative initiatives across digital, print, and experiential channels, while balancing creativity with commercial impact. The role will require strategic thinking, hands-on execution, and leadership in managing a team of creatives and external agencies. Roles & Responsibilities: Brand Strategy & Creative Direction: Lead and define the brand vision, ensuring consistent storytelling and visual identity across all channels (digital, print, social, packaging, etc.). Creative Development & Execution: Oversee the execution of digital campaigns, marketing materials, packaging, and social media initiatives. Collaborate with internal and external teams to produce high-quality assets. Cross-Functional Collaboration: Work closely with product marketing, sales, and leadership teams to align creative strategies with business objectives and support new product launches. Innovation & Trend Spotting: Stay ahead of design and digital trends, experimenting with new formats, techniques, and platforms to enhance brand engagement and impact. What We re Looking For: Experience: 7+ years of experience in creative leadership roles, ideally with a background in global consumer brands or the B2B/B2C food industry. Portfolio: A strong portfolio showcasing brand storytelling, digital and print design, campaign execution, and a clear understanding of brand identity. Design Tools: Hands-on experience with design tools such as Adobe Creative Suite, Figma, etc., and content production for both digital and print. Team Leadership: Ability to lead a small, dynamic creative team and manage relationships with external creative agencies/partners. Strategic Mindset: A strong strategic thinker who can connect creative outputs to business objectives and measurable outcomes. Communication Skills: Excellent communication and presentation skills, with the ability to effectively convey creative ideas and strategies. Industry Experience: Experience in the seafood, food service, or retail industry is a plus but not mandatory. Global Exposure: Influence the creative direction of brands across the US, EU, and beyond. Fast-Growing Industry: Work with a fast-growing global house of brands in the seafood industry, leading innovation in a traditionally fragmented sector. Collaborative Environment: Be part of a high-energy, entrepreneurial marketing team that values creativity and growth. Impact: Contribute to a company committed to responsible sourcing, sustainability, and community empowerment.

Associate Director Control Tower at Captain Fresh Company Overview: Captain Fresh is a tech-led, vertically integrated global powerhouse of seafood brands. Founded in 2020 and headquartered in Bengaluru, India, Captain Fresh s portfolio includes well-known brands like CenSea in the US, SuperFish in Poland, and Senecrus in France. By leveraging technology, Captain Fresh leads the charge in bringing innovation to the traditionally fragmented seafood sector. The company integrates the key nodes of the seafood value chain procurement, processing, distribution, and retail across multiple species, ensuring high standards of traceability and sustainability. The group sources and distributes over 100 species of seafood across 30 countries, with a strong focus on responsible sourcing and empowering communities while protecting ecosystems. Role: Associate Director Control Tower Location: Bengaluru, India The Control Tower is the nerve center for the company's global operations, acting as a key enabler for operational excellence. As the Associate Director Control Tower, you will drive high-impact projects, oversee the execution of export shipments, and ensure operational metrics are met consistently. Roles and Responsibilities: Drive High-Impact Projects: Identify and Scope Projects: Focus on initiatives to improve cost and performance metrics across the value chain. Project Execution: Lead the execution of these projects, collaborating with key stakeholders. MIS Creation: Develop Management Information Systems (MIS) to track project success and present metrics to leadership. Onboarding Facilities: Manage the onboarding process for new facilities onto the proprietary technology platform, ensuring smooth integration. Export Shipment Execution: Shipment Planning: Execute shipments according to plan, ensuring zero detention or demurrage-related costs. Repacking and Labeling: Ensure repacking of materials and labeling are done as per the buyer s requirements, either in the factory or cold storage. Documentation Accuracy: Ensure that all shipments have accurate documentation, with zero delays due to errors or missing documents. Real-Time Tracking: Track shipments and provide real-time visibility to stakeholders regarding shipment status and delivery. Logistics Performance: Monitor logistics performance metrics, ensuring cost-effective and timely deliveries. Audits: Audit Management: Handle internal and external audits for the operations domain, resolving queries in real time to ensure smooth audit processes. The Ideal Candidate: We are looking for someone who has: Leadership in High-Impact Projects: Experience in leading large-scale supply chain or operational projects within manufacturing, particularly in export-oriented food industries. Experience in setting up a GCC (Global Capability Center) office for a large business organization would be an advantage. Consulting Experience: 3-7 years of consulting experience in the supply chain and manufacturing domains, specifically in operations or logistics. Multitasking in Complex Situations: Proven ability to manage multiple projects simultaneously in complex and ambiguous situations, ensuring timely delivery. Cross-Functional Collaboration: Ability to collaborate and communicate effectively at all levels of the organization, across different geographies. Deep Knowledge of Supply Chain: Strong understanding of supply chain processes, with excellent problem-solving and analytical skills to improve efficiency and cost-effectiveness. Fast-Growing and Innovative Environment: Be a part of a pioneering, tech-driven company in the global seafood industry that is transforming traditional practices. Global Exposure: Work at a global scale, managing projects across different countries and regions. Impactful Role: Lead high-impact projects that will directly influence the operational success of the organization. Sustainability Focus: Contribute to a company that values sustainability and responsible sourcing while supporting global communities.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience building and developing infrastructure, distributed systems, or networks, or experience with compute technologies, storage, or hardware architecture. Experience developing accessible technologies. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions that impact billions of users worldwide. Responsibilities: Write product or system development code to build solutions at scale. Participate in, or lead, design reviews with peers and stakeholders to make technology decisions and choose the best available solutions. Review code developed by other engineers, providing feedback to ensure best practices are followed (e.g., style guidelines, checking code in, accuracy, testability, efficiency). Contribute to existing documentation or educational content, updating it based on product or program changes and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and assessing their impact on hardware, networks, or services. About the Core Team: The Core team at Google builds the technical foundation behind Google s flagship products. As the foundation of Google s platform, we are responsible for the underlying design elements, developer platforms, product components, and infrastructure that are essential for building excellent, safe, and coherent experiences for users. We influence the pace of innovation across every developer team at Google. We provide central solutions, break down technical barriers, and strengthen existing systems, creating innovative and scalable solutions that power the products used by billions of people. Qualification : Master's degree or PhD in Computer Science or related technical fields.

Software Engineer at Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and building software for data privacy or security (e.g., identity and access management). Experience with C++, infrastructure design, and Android app development. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience with Security Analysis, Program Analysis, Decompiler. Knowledge of code and system health, diagnosis and resolution, and software test engineering. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will participate in the development of large scale Google infrastructure Design, as well as develop, and maintain scalable Google wide infrastructure to scan 1 million Android apps per day, manage Petabytes of analysis data, and protect over 3 billion devices. You will build systems to manage and extract intelligence from various sources and make the intelligence available to various internal systems and stakeholders The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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

Intuit is a global leader in financial technology, dedicated to helping individuals and businesses thrive. Our suite of products, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serves approximately 100 million customers worldwide. At Intuit, we believe in providing everyone with the tools and resources they need to achieve financial success. We are constantly innovating to make financial empowerment a reality for all. Job Overview Join the Intuit Data Platform (IDP) team as a Staff Engineer and help us transform the way we handle big data! The IDP team is responsible for the Intuit Analytics Platform, which powers real-time data ingestion, cataloging, analytics, and machine learning across the entire organization. As Intuit s customer base grows, so does the volume of data we process. Our engineering excellence ensures that we can scale and leverage this data to drive machine learning and product innovations. We re in the process of building the next-generation real-time and batch ingestion engine, capable of indexing, cataloging, and organizing data and metadata. We are passionate about using open-source technologies to solve challenges and contributing back to the community. If you're excited about building a platform that will directly impact data scientists and analysts and have a desire to shape the future of data at Intuit, then come join us! Key Responsibilities Architect & Design: Build fault-tolerant and scalable big-data platforms using open-source technologies to handle massive datasets. Data Solutions: Create architecture solutions that address complex use cases like data normalization, lineage, governance, ontology, and discoverability. Cross-Team Collaboration: Work with analysts and data scientists to understand data requirements for building operational propensity models and gaining deep customer insights. Hands-On Coding: Lead development efforts within the Hadoop ecosystem using technologies such as Java MapReduce, Spark, Scala, HBase, and Hive to build and optimize data pipelines for both real-time and batch applications. Database Management: Work with NoSQL, SQL, and in-memory databases to design high-performance data systems. Code Reviews: Ensure code quality, consistency, and adherence to best practices through regular code reviews. Architectural Alignment: Ensure alignment between enterprise architecture and business requirements. Prove Feasibility: Conduct proof-of-concept (POC) experiments for new technologies or approaches and drive them to production. Collaboration with Data Cataloging Team: Work closely with data catalog teams and architects to index and catalog all data sources at Intuit. Agile Leadership: Lead fast-paced development teams using agile methodologies and promote best practices in software development, testing, and incident response. Design & Model: Build dimension models suited for customer business use cases and ensure seamless integration of business and technical requirements. Qualifications Experience: 12+ years of relevant experience, with at least 5+ years specializing in the big data domain. Big Data Architecture: Proven experience in architecting end-to-end ecosystems for big data and analytics platforms. Expert Knowledge: Deep expertise in building fault-tolerant, scalable big data solutions, especially using the Hadoop ecosystem (Hive, HBase, Spark, Kafka, MapReduce, etc.). Programming Expertise: Mastery of Java and Scala, with a focus on building high-throughput data services. Machine Learning: Knowledge of machine learning principles and AI applications in big data. Big-Data Technologies: Familiarity with tools such as HDFS, Storm, Zookeeper, Cassandra, Redshift, GraphDB, and others. Understanding both real-time and batch processing in the Hadoop ecosystem. Communication: Strong communication skills, with an ability to explain complex technical topics to both technical and non-technical audiences. Programming Skills: Intermediate experience in Python or R for data processing. Education: BE/BTech/MS in Computer Science or a related field (or equivalent experience). Collaboration: Demonstrated ability to work cross-functionally and lead change through influence and example. At Intuit, you ll be part of a talented, passionate team working on innovative solutions that shape the future of data analytics and machine learning. As a Staff Engineer, you ll have the chance to work with cutting-edge technologies, build scalable systems, and help revolutionize how Intuit leverages data to drive product innovation. If you're looking for a dynamic environment where you can have a meaningful impact, come join us at Intuit! Qualification : BE/BTech/MS in Computer Science (or equivalent)

Job Title: Data Engineer Job Summary As a Data Engineer in the IT team, you will work on various big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help business to get most value out of their data. The Impact You Will Have You will work on a variety of impactful Big Data projects which may include building reference architectures, how-to's and production grade MVPs. Work on implementing transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work on architecture and design; bootstrap or implement strategic projects. What We Look For 7+ years experience with Big Data Technologies such as Apache Spark , Kafka, Cloud Native and Data Lakes. 4+ years of experience working on Big Data Architectures independently. Preferred experience working in the Databricks ecosystem. Comfortable writing code in either Python or Scala. Experience working across Cloud Platforms (GCP / AWS / Azure). Documentation and white-boarding skills. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Job Title: Senior Cloud Data Engineer Experience: 10+ Years Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. It brings together leading expertise in strategy, technology, data science, and creative design to help CxOs reimagine their businesses. We are a global business line dedicated to helping organizations envision and build what s next. Your Role: As a Senior Cloud Data Engineer at Capgemini Invent, you will design, develop, and maintain scalable data pipelines using advanced cloud technologies to ensure smooth data integration and efficient workflows. You will collaborate with cross-functional teams to deliver robust and optimized data solutions while ensuring compliance and security throughout the process. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services. Optimize data storage and retrieval processes to ensure efficiency and accessibility. Ensure data security and compliance with industry standards, including data privacy laws. Manage large volumes of data, focusing on accuracy, integrity, and secure accessibility. Develop and refine data processes for data modeling, mining, and production. Implement quality checks, data validation, and monitoring of data flows. Collaborate with data scientists, analysts, and IT teams to meet data requirements. Work closely with data architects and modelers on project objectives and solutions. Troubleshoot and resolve issues in data pipelines, ensuring performance tuning and optimization. Develop and implement disaster recovery procedures to safeguard data. Ensure seamless integration of HR and other business data into cloud-based environments. Research new opportunities for data acquisition and discover additional uses for existing data. Stay up-to-date with the latest cloud technologies, data management practices, and trends, including Generative AI. Recommend and implement improvements to enhance data reliability, efficiency, and quality. Your Profile: 10+ years of experience in cloud data engineering. Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data pipeline tools like Apache Spark, AWS Glue, or similar technologies. Strong programming skills in Python, SQL, Java, or Scala. Familiarity with Snowflake, Informatica, or similar tools is an advantage. In-depth knowledge of data privacy laws, security best practices, and data governance. Expertise in analyzing and interpreting complex datasets to derive actionable insights. Strong communication, collaboration, and problem-solving skills. Knowledge of database technologies, including SQL, Big Data, and Cloud-based systems. Passion for learning and keeping up with emerging technologies, particularly in Generative AI. Experience working in an Agile framework and managing multiple projects simultaneously. Ability to adapt to evolving priorities and business needs. What You Will Love About Working Here: Flexibility: Enjoy flexible work arrangements such as remote work or flexible hours, ensuring a healthy work-life balance. Career Growth: We offer numerous opportunities for career advancement and personal development, helping you explore diverse paths and expand your skills. Certifications & Learning: Gain valuable certifications in cutting-edge technologies, including Generative AI, to stay ahead of the curve. About Capgemini: Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world. With a team of 340,000 professionals in over 50 countries, we are dedicated to making a tangible impact on enterprises and society. Trusted by clients for over 55 years, Capgemini uses its deep industry expertise and cutting-edge technologies such as AI, cloud, and data to unlock the full potential of businesses worldwide. In 2023, the group reported global revenues of 22.5 billion.

Data Scientist Role Overview We are looking for a Data Scientist with a strong foundation in Python, hands-on experience with machine learning techniques, and excellent communication skills. The ideal candidate will work on data-driven solutions, develop predictive models, and collaborate with cross-functional teams to translate business challenges into actionable insights. Key Responsibilities Data Analysis & Modeling Conduct in-depth data analysis to identify trends and patterns. Develop and implement predictive models using ML algorithms (regression, classification, clustering, decision trees, neural networks). Utilize statistical techniques to derive insights and drive business decisions. Data Pipeline & Deployment Build and deploy ETL pipelines to extract, transform, and load data from multiple sources. Optimize machine learning models for efficiency and scalability. Collaboration & Communication Work closely with business stakeholders, engineers, and analysts to understand challenges and propose data-driven solutions. Effectively communicate complex technical concepts to both technical and non-technical audiences. Present findings using data visualization tools. Continuous Learning & Innovation Stay updated on the latest advancements in ML, AI, and data science. Contribute to the development and improvement of the data science infrastructure. Required Skills & Qualifications Technical Expertise: Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch). Experience with ML techniques (regression, classification, clustering). Solid understanding of statistical concepts and data analysis methodologies. Experience with data visualization and presentation tools. Soft Skills & Communication: Strong problem-solving and critical-thinking abilities. Excellent communication and interpersonal skills. Ability to work independently and in teams. Educational Background: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Preferred Skills (Nice to Have) Experience with cloud computing platforms (AWS, Azure, GCP). Exposure to big data technologies (Hadoop, Spark). Proficiency in data visualization tools (Tableau, Power BI). Master s degree in a relevant field. Apply Now & Be Part of an Innovative Data Science Team! Qualification : Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

Skills Required: Should have a minimum 6+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally and technical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources. Design, build and maintain batch or real-time data pipelines in production. Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources. Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases. Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow, Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud. Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc. Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce). Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc. Experience in Insurance domain preferred.