Senior Analytics Engineer in Bengaluru

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are looking for a rockstar Senior Product Manager – Lending Risk to lead the Merchant Lending Risk charter at Paytm. You will own the risk product strategy that powers unsecured merchant loans, balancing aggressive growth with rock-solid credit quality and regulatory integrity, while partnering closely with Risk, Data Science, Engineering & Business. Key Responsibilities: * Define and drive the product roadmap for merchant lending risk. * Build and scale rule engines (BRE), decision engines, and model orchestration layers. * Implement audit-ready decision logs and explainability layers. * Build robust policy versioning and experimentation infrastructure. * Lead a team of credit risk analysts owning underwriting, risk, fraud, and monitoring. Requirements: * 5+ years of product management experience in the consumer or fintech industry. * Strong experience in unsecured merchant or SME lending preferred * Strong analytical and structured thinking ability. Why join us •A collaborative output driven program that brings cohesiveness across businesses through tech

Job Title: Project Manager – Data & Analytics Location: Bangalore Role Overview We are looking for an experienced Project Manager to drive Agile delivery for large-scale data and analytics programs. The role requires strong expertise in Scrum, SAFe, and end-to-end delivery management, with a focus on project execution, stakeholder management, and delivering business outcomes. Key Responsibilities Drive end-to-end project/program delivery across data engineering, BI, and analytics initiatives. Act as Scrum Master and facilitate Agile ceremonies, including Sprint Planning, Daily Stand-ups, Reviews, and Retrospectives. Manage scope, timelines, risks, dependencies, and delivery quality. Lead stakeholder discussions and provide regular updates to senior leadership. Drive continuous improvement and proactively resolve project challenges. Prepare impactful PPTs, dashboards, and executive-level summaries. Work independently and ensure projects are delivered within timelines and quality standards. Required Skills & Experience 8–10+ years of progressive experience in Project/Program Management, with the majority of the career in these roles. Prior experience as a Scrum Master. Strong expertise in Agile/Scrum methodologies; SAFe experience is preferred. Excellent communication and stakeholder management skills, including with senior audiences. Strong ownership of project execution, timelines, and quality standards. Proactive problem-solving approach with the ability to take initiative and work independently. Strong presentation skills with the ability to create impactful PPTs and summarize content for senior-level discussions. Working knowledge of Databricks, Snowflake, AWS S3, and AWS Athena. Experience working in data engineering, analytics, or technology environments is preferred. Note: By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your app

About Sigmoid Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best-in-class end-to-end data value chain capabilities spanning Data Science, Data Engineering, and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team-first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Role: Associate Director - Delivery About the Role You will lead delivery for large-scale Data Engineering programs, working closely with clients to architect and drive execution of modern data platforms - data pipelines, cloud migrations, lakehouse implementations, and real-time data processing solutions. You will own end-to-end delivery governance across multiple engagements, act as a senior escalation point for clients, and provide technical and delivery leadership to teams building enterprise-grade data engineering solutions. If you enjoy operating at the intersection of technical depth in Data Engineering and delivery leadership, we would like to talk to you. Required Skills & Competencies 15-18 years of experience in Project Delivery, Client Engagement, or Data Engineering Delivery Management, with a significant portion focused on Data Engineering programs. Strong hands-on exposure to Data Engineering tools and technologies, including cloud data platforms Proven experience in Analytics/Consulting/IT Services, managing complex Data Engineering project execution, architecture reviews, and governance. Exposure to US/Global clients, with experience handling client escalations. Ability to manage multiple Data Engineering project teams and pods, mentor Delivery/Engineering Managers and technical leads, and drive engineering process improveme

About the Company: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo. Vibrant inclusive culture of mutual respect and fun through both work and play. About the Role : Sigmoid is looking to onboard a Senior Leader for our FS Consulting Practice who can bridge the gap between high-level strategy and granular operational reality. A true expert in the Financial services space must understand the interconnectedness of Financial Products & Market Dynamics. In this role, you will drive strategic initiatives, foster innovation, and provide visionary direction to our BFSI practice. The role requires a strong portfolio leader responsible for managing 3–6 key accounts across a mix of new business development (hunting) and account growth (farming). The individual will typically oversee a team of approximately 15–70 mem

About Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. At Target, we have a timeless purpose and a proven strategy. Some of the best minds from different backgrounds come together to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. Target in India operates as a fully integrated part of Target's global team and supports the company's global strategy and operations. About the team The IT Data Platform (ITDP) team enables data-driven management of Target's technology ecosystem by bringing together trusted data and insights across technology assets, software delivery, infrastructure, reliability, security, engineering effectiveness, and technology operations. The Analytics team within ITDP transforms this data into metrics, analytical products, dashboards, predictive insights, and decision-support capabilities that help technology teams understand what is happening, why it is happening, where risk may be emerging, and where action is needed. The team is building toward an analytics capability that progresses from descriptive and diagnostic analytics to predictive and prescriptive insights, using statistical methods, applied data science, and GenAI where each approach is appropriate. As a Senior Data Analyst for Target's IT Data Platform Analytics team you'll: <p style="co

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. Don’t miss the rocket ship—join Prophecy and build the next data revolution. Position Summary This is a high-impact opportunity to be a senior DevOps engineer in a fast-growing startup, based in Prophecy’s India engineering center. You will own and evolve the foundations that keep our engineering org fast, secure, and cost-efficient at scale — spanning cloud cost management, security DevOps, and CI/CD and engineering operations. You will work with a team of dynamic engineers who take pride in solving complex problems, and you will have the autonomy to set direction in your areas of ownership. The Impact You Will Have Cloud cost (FinOps) Own and evolve our cloud cost optimization program across AWS, Azure, GCP, Databricks, Snowflake and Bigquery building on the programmatic monitoring and controls Analyze billing, asset-inventory, and utilization data across departments to identify wasteful spend and provide actionable insights to optimize it. Develop and maintain cost optimization strategies, roadmaps, and forecasting models Partner with engineering teams to design cost-efficient architectures without compromising scalability or reliability. Build and maintain automation for infrastructure provisioning, scaling, and cost control. Security DevOps Partner with engineering and security to drive our security-hardening program across workstreams such as identity & access governance, secrets & credential lifecycle, cloud access, and CI/CD hardening. Implement and automate guardrails: secrets management, least-privilege access, cr

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! About Couchbase Couchbase is the Operational Data Platform for AI. Our customers don't run AI in a lab — they run it in production, where agents remember, reason, and act on live operational data. With the Couchbase AI Data Plane, we give those agents one governed layer for memory, context, tool access, and MCP, deployed anywhere from public cloud to Kubernetes to the edge to air-gapped environments. Amadeus, Cisco, Comcast, FICO, PepsiCo, United, Verizon, and Wells Fargo trust us with their data. That means AI security isn't a side topic here. It's adjacent to the product, and it's the environment we operate in every day. The Role We're hiring a Sr. Security Operations Engineer to join Couchbase's global Information Security team as our second dedicated SecOps engineer. We think the interesting work in security

Key Responsibilities : Primary responsibilities :- Installation and configuration of MySQL instances on single or multiple ports. Hands-on experience of working with MysQL 5.7 and MySQL 8. Clear understanding of MysQL Replication process flows , threads , setting up multi node clusters and basic troubleshooting. Understanding of at least one of the backup and recovery methods for MySQL . Strong fundamentals of SQL and able to understand and tune complex SQL queries when needed. Strong fundamentals on the linux system side and monitoring tools like top , iostats , sar etc. At Least couple of years of production hands on experience on medium to big sized MySQL databases. Setting up and maintaining users and privileges management system and troubleshooting relevant access issues. Some exposure to external tools like Percona , ProxySQL , HAP etc. Understand the transaction flows and ACID compliance. Basic understanding of networking concepts . Performing on-call support and should be able to provide the first level support . Excellent verbal and written communication skills. Strong shell scripting skills . Good to have Python . Secondary responsibilities. :- Able to configure and setup NOSQL databases like Mongodb and Cassandra. Ability to learn new technologies along with a team and a positive outlook to understand problems from the business point of view. Qualifications: Proficiency in database management systems such as , MySQL or NoSQL databases. SQL programming and database design skills. Knowledge of database performance tuning and optimization techniques. Familiarity with database security best practices. Scripting and automation skills (Good to have- Python). Good problem-solving and analytical skills. Excellent communication and teamwork skills.

Key Responsibilities : Primary responsibilities :- Installation and configuration of MySQL instances on single or multiple ports. Hands-on experience of working with MysQL 5.7 and MySQL 8. Clear understanding of MysQL Replication process flows , threads , setting up multi node clusters and basic troubleshooting. Understanding of at least one of the backup and recovery methods for MySQL . Strong fundamentals of SQL and able to understand and tune complex SQL queries when needed. Strong fundamentals on the linux system side and monitoring tools like top , iostats , sar etc. At Least couple of years of production hands on experience on medium to big sized MySQL databases. Setting up and maintaining users and privileges management system and troubleshooting relevant access issues. Some exposure to external tools like Percona , ProxySQL , HAP etc. Understand the transaction flows and ACID compliance. Basic understanding of networking concepts . Performing on-call support and should be able to provide the first level support . Excellent verbal and written communication skills. Strong shell scripting skills . Good to have Python . Secondary responsibilities. :- Able to configure and setup NOSQL databases like Mongodb and Cassandra. Ability to learn new technologies along with a team and a positive outlook to understand problems from the business point of view. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Proficiency in database management systems such as , MySQL or NoSQL databases. SQL programming and database design skills. Knowledge of database performance tuning and optimization techniques. Familiarity with database security best practices. Scripting and automation skills (Good to have- Python). Good problem-solving and analytical skills. Excellent communication and teamwork ski

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Company Description: Okta - we are the World’s Identity Company. We don’t just protect logins; we secure the digital life of the Fortune 100. Built from the ground up in the cloud, Okta securely and simply connects people to their applications from any device, anywhere, at any time. Okta integrates with existing directories and identity systems, as well as thousands of on-premises, cloud and mobile applications, and runs on a secure, reliable and extensively audited cloud-based platform. Who are we looking for: We are looking for a Senior Software Engineer in Test. An individual who takes ownership and builds viable solutions. A team oriented individual who can demonstrate working independently, as an individual contributor, in a distributed working environment. Detail oriented and methodical in approaching tasks with excellent research and analytical skills. An ideal candidate will be someone who is passionate about automation & appling those automation skills in testing, cloud native, large-scale, mission-critical software in a fast-paced agile environment while partnering with cloud Infrastructure and operations teams. Okta engineering strongly believes in automated testing, and an iterative process to build high-quality next generation software. This role is mainly focused on automation of Cloud Infrastructure testing and supporting SREs, including bespoke solutions rolled out by Developer Productivity teams. The Quality Engineering team work

Job Summary Reporting to the Memory Validation leadership team, the Senior Silicon DDR/HBM Validation Engineer will be responsible for the bring-up, validation, characterization and debug of advanced memory subsystems used in next-generation AI compute platforms. The role will focus on DDR and HBM technologies, working closely with silicon design, firmware, characterization, platform and systems teams to ensure robust memory subsystem functionality, performance and reliability. The successful candidate will take ownership of significant validation activities, contribute to debug and root-cause analysis efforts, and help improve validation methodologies, automation and infrastructure. The Team The Memory Validation team sits within the Validation organisation and is responsible for the bring-up, validation, characterization and debug of memory subsystems across Graphcore silicon and platform products. The team supports DDR and HBM validation activities throughout the product lifecycle, from first silicon through production readiness. Engineers work closely with architecture, RTL, firmware, characterization, systems and platform teams to ensure memory technologies meet functionality, performance, reliability and performance objectives. Responsibilities and Duties Execute validation and bring-up activities for DDR and HBM memory subsystems Verify memory bring-up software, firmware and scripts against defined project requirements Debug firmware, hardware and system-level issues and contribute to root-cause analysis activities Analyse system logs, validation data and characterization results to identify failures and performance issues Perform PHY characterization and analog-level analysis during stress testing and validation activities Develop and execute functional, stress, performance and corner-case validation tests Perform signal integrity, voltage, frequency and timing measurements using laboratory instrumentation Char

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Be part of a trading systems engineering team, dedicated to building out the core trading platforms. Work closely with cross functional teams to improve the system reliability, scalability and security. Engage in and improve the quality supporting the platform. Build and manage systems, infrastructure and applications through automation. Provide operational support to internal teams working on the platform. Work on improvements to bring in high efficiency, reduce latency, deploy systems faster. Practice sustainable incident response and blameless postmortems. Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents. Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity. Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity. Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems). Proactive approach to problem analysis and resolution of production incidents. Manage Issue tracking and prioritisation of day to day production incidents. Manage platf

Job Title Senior Software Technologist I - C++ Job Description Software Engineer II Your Role: • Design, develop, test, and maintain software components and applications using modern C&#43;&#43;, C# in a Windows-based environment. • Participate in the full software development lifecycle including requirements analysis, design, implementation, testing, debugging, and maintenance. • Develop and maintain software applications using Visual Studio and associated C&#43;&#43;, C# development tools. • Work with Windows operating system fundamentals including processes, services, registry, file system, User Account Control (UAC), and application configuration. • Create, enhance, and troubleshoot software modules while adhering to coding standards, design guidelines, and software development best practices. • Utilize GitHub for source control management including branching strategies, commits, pull requests, merges, rebasing, and code reviews. • Support and troubleshoot CI/CD pipeline issues using GitHub Actions and participate in continuous integration activities. • Manage software dependencies and package management using NuGet and Conan. • Configure and maintain build systems using CMake and Visual Studio project configurations. • Develop and execute unit tests using Google Test (GTest) to ensure software quality and reliability. • Perform debugging, root cause analysis, and defect resolution for software issues identified during development, testing, and field support activities. • Participate in peer code reviews and contribute to software quality, maintainability, and technical excellence. • Collaborate effectively with Software Verification, Product Management, DevOps, Architecture, and cross-functional teams to deliver high-quality software solutions. • Create and maintain

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking an experienced MDM Product Data Analyst to support the management, quality, governance, and transformation of product master data across enterprise systems. The role will work closely with Product, Business, Engineering, Data Governance, and technical teams to analyze complex product data, define and validate data quality rules, support MDM onboarding and migration, and drive resolution of data issues. The ideal candidate combines strong product data and MDM expertise with advanced SQL, analytical problem-solving, and practical use of AI/GenAI to improve data analysis and delivery. WHAT YOU'LL DO • Analyze, manage, and reconcile product master data across multiple source systems, MDM platforms, and downstream applications. • Leverage AI/GenAI tools to accelerate data profiling, analysis, data quality rule development, documentation, issue investigation, and root-cause analysis. • Translate business and product requirements into clear data requirements, attribute definitions, validation rules, and analytical specifications. • Perform detailed data profiling to identify quality issues, gaps, inconsistencies, anomalies, duplicates, and data integrity risks across product attributes and relationships. • Define, document, implement, and validate data quality rules covering completeness, accuracy, validity, consistency, uniqueness, and business-rule compliance. • Develop source-to-target analysis and reco