Data Engineer at KnowBe4 | Bengaluru, India

Join KnowBe4, the global frontrunner in Human Risk Management, serving over 70,000 organizations worldwide for more than 15 years. We are at the forefront of security innovation, having integrated AI capabilities since 2016. Our HRM+ platform merges continuous risk intelligence, cutting-edge technical defenses, and tailored training to empower organizations in cultivating robust security cultures. We assist companies in identifying, measuring, and mitigating human risks across their workforce, safeguarding against deepfakes and evolving AI-driven threats.At KnowBe4, we are committed to protecting organizations from cyber threats while fostering a positive environmental impact. We believe that true resilience is a collective endeavor, requiring the safeguarding of our people, our data, and our planet.

Join KnowBe4, the world leader in Human Risk Management, where over 70,000 organizations trust us to safeguard their workforce and AI agents. With a pioneering presence in the industry for over 15 years and an AI-powered approach since 2016, we are redefining security practices.Our innovative HRM+ platform integrates continuous risk intelligence, advanced technical defenses, and customized training, enabling organizations to cultivate robust security cultures. We empower businesses to comprehend, assess, and diminish human risk across their entire teams, ensuring protection against deepfakes and emerging AI-driven threats.At KnowBe4, we are committed to the belief that cybersecurity and positive environmental impact go hand in hand. True resilience encompasses the safeguarding of our people, data, and planet.

Join weekday-1 as a Data Engineer and play a pivotal role in transforming data into actionable insights. You will be responsible for designing and implementing robust data pipelines, optimizing data flows, and ensuring the integrity and security of our data systems. If you're passionate about leveraging data to drive business decisions, this opportunity is for you.

KnowBe4 is recognized for its work in Human Risk Management, serving over 70,000 organizations worldwide for more than 15 years. The company develops AI-driven solutions that help businesses protect their workforce and digital agents from evolving security threats. Its HRM+ system brings together ongoing risk assessments, technical safeguards, and customized training. This combination helps organizations build resilient security cultures and manage risks related to human behavior, including new challenges like deepfakes and AI-powered attacks. KnowBe4 also emphasizes the importance of collective resilience. The company is committed to safeguarding people, data, and the environment, aiming to reduce cyber risks while supporting positive environmental impact.

About the Role Valtech is looking for a Data Engineer in Bengaluru. This position focuses on building and maintaining the core data infrastructure that supports business decisions across the company. What You Will Do Design and develop data pipelines and architecture Maintain and improve data systems for reliability and accuracy Support teams by ensuring data is available and trustworthy for analysis Location This role is based in Bengaluru.

Role Overview tilthq is seeking an Engineering Manager to guide a team of engineers in Bengaluru, India. This hybrid position blends on-site collaboration with remote flexibility. What You Will Do Lead and support an engineering team through all stages of project development, from initial planning to final deployment. Oversee day-to-day progress, maintaining a focus on quality and timely delivery. Encourage open communication and teamwork among engineers. Location This role is based in Bengaluru, India, with a hybrid work arrangement.

About the Role Capco is seeking a Data Engineer with expertise in Scala to join the team in Bengaluru, India. This position focuses on building and maintaining data solutions for clients in the financial services sector. What You Will Do Design and implement data pipelines using Scala. Develop solutions that support business decision-making and add measurable value. Collaborate with colleagues and stakeholders to deliver reliable data systems. About Capco Capco is a global management and technology consultancy dedicated to serving the financial services industry.

Cognite stands at the cutting edge of industrial digitalization, developing AI and data solutions that tackle some of the globe's most challenging and impactful issues. With a rich industrial legacy and a robust suite of AI capabilities, including low-code AI agents, Cognite propels digital transformation to enhance operational efficiencies.Our ambitious goal is to unlock $100 billion in customer value by 2035 and revolutionize the way global industries operate.

At Degreed, we are at the forefront of transforming learning and development through an innovative upskilling platform. Our mission is to empower individuals and organizations by providing a comprehensive suite of resources for lifelong learning, including Learning Management Systems (LMS), courses, articles, videos, and projects. We connect learners with opportunities that align with their skills and career aspirations.For organizations, Degreed cultivates a learning culture that attracts, nurtures, and retains top talent, driving success for both individuals and companies alike.Join us in shaping the future of learning and workforce development! As a Senior Data Engineer at Degreed, you will play a critical role in revolutionizing our data architecture. As our data volume and platform complexity expand, we are committed to developing scalable, high-performance data systems that support our long-term innovation and business growth. This position is designed to take our data platform beyond maintenance, leading us into the next phase of evolution. You will be responsible for designing and optimizing our core data layer, ensuring that internal teams and clients have seamless access to reliable, high-quality data at scale.

Join Okta, The World’s Identity Company!At Okta, we empower individuals to securely access any technology, anywhere, on any device or application. Our innovative Okta Platform and Auth0 Platform are designed to provide seamless access and authentication, placing identity at the heart of security and business expansion.We value diverse perspectives and experiences and are not seeking someone who fits a mold. We’re on the lookout for lifelong learners who can enrich our team with their unique insights.Become a part of our mission to create a world where identity is owned by the individual!About OktaOkta is the premier independent identity provider for enterprises, dedicated to facilitating secure technology usage across organizations of all sizes—from vast corporations to cutting-edge startups. As we embark on a new phase of growth, our advancements in AI and data will play a pivotal role in driving our success, enabling the creation of secure and scalable products for our customers and employees alike.The OpportunityWe are in search of a Principal Data Platform Engineer to serve as the visionary leader for our internal data platform, specifically tailored to support our AI initiatives with data that is ready for AI applications. Reporting to the Sr Manager of Enterprise Data Platform, you will be responsible for transforming our data product vision into a secure, scalable, and sophisticated technical framework. Your role will encompass owning the technical strategy, implementation, and scalability, ensuring our AI and data product roadmap is realized effectively.This position requires a technical leader capable of balancing immediate execution needs with building a sustainable infrastructure for the future. You will establish technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and equipped to support the next generation of AI-driven products and decision-making at Okta.What You’ll DoLead the technical strategy and execution for the company's AI data platform, converting product requirements into a clear technical vision utilizing Snowflake, AWS, and dbt.Develop and implement a comprehensive security and governance framework as a foundational element of the platform, ensuring adherence to high compliance and security standards.Create automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data integrity and security for AI usage.Implement additional solutions to enhance...

Join our innovative team at Sixt as a Data Engineer II, where you will play a vital role in designing and implementing robust data pipelines and architectures. Your expertise will help us transform raw data into actionable insights, enhancing our business decisions and customer experience. If you are passionate about working with large datasets and have a keen interest in data analytics, we want to hear from you!

Role OverviewJoin Ensono as a Senior Systems Engineer, where you will leverage your expertise in virtual servers, operating systems, and data protection to support our business-critical functions. Your role will involve designing and configuring high availability compute solutions, ensuring alignment with Ensono's overall strategy.Key ResponsibilitiesDevelop a comprehensive understanding of virtual servers and various storage solutions including block, file, and object storage.Install and configure high availability compute solutions that support critical business functions.Collaborate with team members to design computer system configurations and document procedures for applying OS patches and updates.Participate in design meetings focused on client disaster recovery planning.Implement storage configurations and data protection measures.Research system vulnerabilities, providing documentation and corrective actions as necessary.Establish guidelines for effective systems management, including improvements in processes and efficiency.Monitor system performance to identify and resolve potential issues and bottlenecks.Prepare detailed reports on capacity and utilization metrics.Design and implement advanced network configurations within virtual server environments.

About UsAt Rox, our mission is to empower individuals to excel in their work.Our innovative platform equips sellers with autonomous revenue agents, allowing them to concentrate on what they excel at: selling. Just as coding agents transformed engineering, our revenue agents revolutionize customer interactions.We are pioneering the revenue stack by developing the world’s first revenue operating system, covering everything from the application layer to the context system. With Rox, humans transition to orchestration roles while agents handle the complete customer lifecycle.Rox serves Global 2000 leaders across banking, hardware, construction, and advanced AI sectors, while also supporting top-tier AI innovators such as Ramp and Cognition.Our success is grounded in a shared belief in our mission, paired with an unwavering dedication to making it a reality.The TeamOur world-class team is the driving force behind our mission to redefine business operations.Our team members have:Founded and successfully exited companiesHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe have raised $50M from esteemed investors, including Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We strive for perfection in every detail, ensuring that every interaction aids sellers in their tasks and enhances their experience. We are committed to continuous improvement and innovation.Obsession: Commit unreasonably.Our commitment to our craft is unwavering. We proactively drive value and are dedicated to learning and improving our services daily.Action: Get it done.Execution is key. We prioritize thoughtful yet prompt decision-making and swift delivery, building trust through our actions.

Conviva serves as the intelligence layer for digital enterprises, transforming consumer interactions into outcome-driven intelligence. By connecting engagement patterns across AI agents, applications, websites, and streaming video, we deliver tangible results like purchases, bookings, and resolved support requests. Our patented Time-State Technology® powers the Conviva® Operational Data Platform, providing real-time insights and automation that enable leading enterprises to expand, enhance customer satisfaction, and cultivate lasting trust. As we continue to grow, Conviva is committed to developing products that offer profound insights into end-user experiences for our clients. We are on the lookout for a Principal Engineer to join our team as an Individual Contributor. The team's vision is to create data processing software capable of handling terabytes of streaming data in real time. You will engineer a next-generation Spark-like system for in-memory computation of extensive time-series datasets, focusing on both Spark-like backend infrastructure and a library-based programming model. You will build a scalable system that analyzes trillions of events daily with sub-second latencies, leveraging cutting-edge big data technologies to devise solutions for diverse use cases across multiple sectors. Lead technological innovation that will significantly impact the business for years to come, and collaborate with a global team to build software using the latest technologies and best development practices.

Join Our Team as a QA EngineerAt Mercari, we are dedicated to ensuring the highest quality of software products. As a QA Engineer, you will play a crucial role in our development process, collaborating closely with software engineers to implement best practices in testing and quality assurance. Your expertise will help us deliver exceptional products while fostering a culture of excellence.About MercariFounded in 2013, Mercari is a pioneering C2C marketplace company headquartered in Japan. Our mission is to empower individuals globally to buy and sell with ease. Since becoming Japan's first tech unicorn prior to our IPO in 2018, we have embarked on an ambitious journey to expand our reach beyond Japan, including successful ventures in the U.S. Our innovation extends to new services like Merpay, a mobile payment platform designed to create a supportive ecosystem for users to achieve their dreams.As we aim to enhance our global presence, we are excited to establish the India Center of Excellence, where we seek the best talent to help us navigate the challenges ahead. Join us in shaping the future of Mercari.Our CultureWe believe that our values define us. At Mercari, we embrace a culture guided by principles such as 'Go Bold', 'All for One', and 'Be a Pro'. We prioritize sustainability, diversity, and inclusion, ensuring a supportive environment where all employees thrive. We invite you to explore our Mercari Culture Document, outlining our shared values and behaviors.

P-1348 Join Databricks, where our mission is to empower data teams to tackle the world's most challenging problems, from detecting security threats to advancing cancer drug development. We build and maintain the premier data and AI infrastructure platform, enabling our customers to focus on their critical missions. Our engineering teams are dedicated to creating innovative technical products that address significant needs while pushing the limits of data and AI technology. We operate with the resilience, security, and scalability necessary to ensure our customers succeed on our platform. Our platform operates at an unparalleled scale, comprising millions of virtual machines and generating terabytes of logs, processing exabytes of data daily. We encounter various cloud hardware, network, and operating system faults, and our software must adeptly protect our customers from these challenges. As a Staff Software Engineer on the Data Platform team, you will contribute to the development of the Data Intelligence Platform at Databricks, automating decision-making processes across the organization. Collaborating with Product Teams, Data Science, Applied AI, and more, you will create tools for logging, orchestration, data transformation, metric storage, governance platforms, and data consumption layers. Leveraging cutting-edge Databricks products and tools within the data ecosystem, your team will serve as a significant in-house customer, providing insights that shape our product's future. Your Impact: Design and manage the Databricks metrics store, facilitating shared access to detailed metrics across business units and engineering teams with high quality and performance. Develop the cross-company Data Intelligence Platform, encompassing all business and product metrics necessary for running Databricks, balancing data protection with ease of sharing as we transition to a public entity. Create tools and infrastructure for efficiently managing Databricks operations at scale across multiple clouds and geographies, including CI/CD processes, testing frameworks for pipelines and data quality, and infrastructure-as-code tools. Establish the foundational ETL framework utilized by all company-developed pipelines. Collaborate with engineering teams to enhance...

Join Hevo as a Finance Manager!At Hevo, we are on a mission to revolutionize data integration and analytics with our innovative no-code platform. As a Finance Manager, you will play a pivotal role in shaping our financial strategy and ensuring the smooth operation of our financial processes.Located in Bengaluru, we are a fast-growing company that supports over 2000 data-driven businesses, helping them derive insights and drive their growth by simplifying complex data tasks. Our commitment to building technology from India, for the world, empowers organizations to unlock the true potential of their data.Be part of our dynamic team and contribute to our vision of making data accessible and actionable for everyone.

About Hevo DataHevoData.com is the choice of data-driven enterprises such as Doordash, Footlocker, Arhaus, and Santander. Our fully managed Automated Pipelines empower organizations to seamlessly consolidate data from diverse sources including Databases, Marketing Applications, Cloud Storage, SDKs, and Streaming Services.Founded in San Francisco and Bengaluru, we proudly serve over 2000 customers across 45+ countries, specializing in e-commerce, financial technology, and healthcare. Backed by notable investors like Sequoia Capital, we have successfully raised $42 Million and are poised for our next phase of accelerated growth!Our Mission: At Hevo, we strive to empower every organization to harness the power of data. Our journey began four years ago with the launch of our flagship product, the “Data Pipeline.”The Hevo Pipeline is a no-code platform designed to unify all data sources within an organization, providing a comprehensive view of business operations. It integrates with over 150 data sources, including Databases, SaaS applications, and Advertising Channels.Currently, we assist nearly 2000 companies in over 40 countries to become more data-centric. Our goal is to simplify technology to the extent that anyone can resolve their data challenges, regardless of their technical expertise.Role Overview: Customer Success EngineerAs a Customer Success Engineer, you will take ownership of Hevo Data's customer relationships from onboarding through to retention. Your role will involve collaborating with Hevo's customers to build and launch data pipelines, while also driving product adoption, client retention, and business growth. You will work closely with Internal Product Experts, Account Executives, Product Support, and Engineering to serve as the primary technical contact for all customer interactions. This partnership enables us to continually enhance our platform's functionality and user benefits.This position reports directly to the Head of Customer Success. Ideal candidates will possess expertise in data warehousing, data pipelines, and ETL/ELT, enabling them to provide strategic and consultative recommendations on all technical matters related to Hevo.Your Responsibilities:● Manage a designated set of customers and ensure their retention and satisfaction.● Act as a technical consultant and advisor during the post-sales phase, providing guidance on solutions.● Facilitate customer onboarding processes and develop engaging onboarding experiences.

About UsAt Rox Data Corp, we are dedicated to empowering individuals to excel in their work.Our innovative platform equips sales professionals with autonomous revenue agents that handle manual tasks, allowing them to concentrate on what they do best: selling. Just as coding agents revolutionized engineering, our revenue agents enhance customer engagement.We are redefining the revenue stack by creating the world’s first revenue operating system, encompassing everything from the application layer to the system of context. At Rox, we envision a future where humans act as orchestrators while agents efficiently manage the entire customer lifecycle.Rox serves Global 2000 leaders across various sectors including banking, hardware, construction, and sovereign AI, along with prominent AI enterprises like Ramp and Cognition.Our success is grounded in a shared mission and an unwavering commitment to transforming this vision into reality.The TeamOur world-class team is the backbone of our innovations and progress.Team members have:Founded and successfully exited multiple companiesHeld top-tier positions at esteemed organizations such as Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are supported by top-tier investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We ensure that every detail is meticulously crafted, creating not just functional but enjoyable interactions for our users. We are driven to refine and enhance every aspect of our product continuously.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs swiftly and proactively delivering value. Our commitment to learning and improving is relentless.Action: Get it done.Execution sets us apart. We prioritize thoughtful decision-making and immediate delivery, fostering trust through our actions.

Join Zeta Global as a Senior Data Engineer, where you'll play a pivotal role in designing, constructing, and managing the data pipelines that drive our cutting-edge AdTech platform. This is an individual contributor position focused on large-scale batch and streaming data processing, delivering reliable data products, and creating analytics-ready datasets that facilitate predictions, agentic workflows, business intelligence reporting, and performance measurement. Collaborate effectively with backend, machine learning, and product teams to ensure the delivery of high-quality, well-structured data with excellent performance and observability. Your Responsibilities: Data Pipeline Development: Construct robust batch and streaming data pipelines using technologies like Kafka and Kinesis to process and enrich extensive event data, including impressions, clicks, conversions, costs, and identity signals. Data Aggregation & Marts: Design and maintain curated aggregates and dimensional models for various stakeholders, including prediction models, agents, BI dashboards, and measurement workflows. Data Modeling & Contracts: Establish schemas, data contracts, and versioning strategies to maintain stability in downstream systems as data sources evolve. Data Quality & Reliability: Implement validation, anomaly detection, backfills, and reconciliation processes to ensure data completeness, correctness, and timeliness according to SLAs and SLOs. Performance & Cost Optimization: Optimize compute and storage resources for scalability, focusing on partitioning, file sizing, incremental processing, and indexing while balancing latency, throughput, and cost. Orchestration & Automation: Develop repeatable workflows with scheduling/orchestration tools (e.g., Airflow, Dagster, Step Functions) and CI/CD practices for data pipelines. Data System Observability: Instrument data pipelines with metrics, logs, lineage, and alerts to enhance the detection and root-cause analysis of data issues. Security & Governance: Implement least-privilege access, comply with PII handling standards, and establish governance controls that align with enterprise policies.