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Experience Level
Experience
Qualifications
Proficient in software development with a focus on AI and analytics. Experience working in collaborative, cross-functional teams. Strong problem-solving skills and a proactive approach to identifying potential threats. Familiarity with modern programming languages and frameworks. Commitment to continuous learning and professional development.
About the job
At SAFE Security, we are on a daring mission: We Will Build CyberAGI , a highly specialized intelligent system that autonomously anticipates, identifies, and resolves cyber threats. This vision is not just a dream; it's the reality we are shaping daily, utilizing the brightest talents in AI, cybersecurity, and risk management. At SAFE, we empower our individuals and teams with the freedom and accountability to align their objectives, driving us all towards our common goal.
We promote a culture of radical transparency, autonomy, and accountability, there’s no tolerance for brilliant jerks. Our culture-first approach includes an unlimited vacation policy, a high-trust work environment, and a commitment to ongoing learning. For us, Culture is Our Strategy, explore our Culture Memo to learn what distinguishes SAFE.
We are in search of an experienced Software Development Engineer (SDE II) with profound knowledge in Analytics and AI to join our impactful engineering team. In this position, you will collaborate intimately with Design, Product, and cross-functional teams to create innovative analytics and AI-driven solutions that aid in predicting and preventing cyber breaches.
About SAFE Security
At SAFE Security, we are pioneering a future where cybersecurity is managed by intelligent systems. Our commitment to innovation and excellence positions us as leaders in the field, and we are dedicated to creating a workplace that fosters growth, creativity, and accountability.
Saviynt is at the forefront of identity security, leveraging an AI-driven platform to manage and govern both human and non-human access to an organization's applications, data, and business processes. Our clients, including Fortune 500 companies and government institutions, trust us to protect their digital assets, enhance operational efficiency, and minimiz…
Join our dynamic team at 6sense as a Senior Analytics Engineer, where you'll play a pivotal role in transforming data into actionable insights. Your expertise will drive our analytics initiatives, enabling our teams to make informed decisions that propel our business forward.
About DeleteMe: DeleteMe stands at the forefront of proactive privacy protection, assisting individuals, families, businesses, and security teams in minimizing their exposure to online threats. We specialize in the continuous monitoring and removal of personally identifiable information (PII) from the open web, effectively safeguarding our clients against social engineering, phishing, AI-generated deepfake attacks, doxxing, identity fraud, and physical threats.As a rapidly growing global SaaS provider, DeleteMe caters to both consumers and enterprises, having successfully executed over 100 million opt-out removals. Our services are tailored to mitigate risks associated with identity theft, spam, and other cybersecurity challenges. We offer comprehensive privacy reports, ongoing monitoring, and expert support to guarantee sustained protection.DeleteMe serves as a scalable, managed defense layer for your most critical asset: your people. This is why 30% of the Fortune 100 companies, leading tech firms, prominent banks, federal agencies, and various U.S. states trust DeleteMe to safeguard their workforce.Our team is fueled by a strong mission to empower consumers with privacy, and we are committed to delivering exceptional results.Job Summary:As a vital member of the Data Warehouse team, the Data & Analytics Engineer will play a crucial role in bridging the gap between raw data engineering and business strategy. This position involves designing, constructing, and optimizing scalable data models in Snowflake using dbt, while ensuring high data integrity and performance. The ideal candidate will balance technical warehouse architecture with the capability to translate complex business needs into actionable data products.
Join our innovative team at SanDisk as a Principal Engineer in Data Analytics Engineering. In this pivotal role, you will spearhead cutting-edge data analytics projects, utilizing advanced methodologies and technologies to drive impactful insights across our organization. Your expertise will be critical in shaping our data strategy and enhancing our analytical capabilities.
About UsAt Metropolis, we are pioneers in artificial intelligence, utilizing cutting-edge computer vision technology to create seamless, checkout-free experiences in everyday life. Our mission is to transform parking solutions, enabling millions of users to simply 'drive in and drive out' effortlessly. We envision a future where transactions in the physical realm are as swift and convenient as online interactions, allowing everyone to reclaim their most precious resource—time.Your RoleWe are on the lookout for a Senior Analytics Engineer to enhance our Data Engineering and Analytics team. This strategic position is tailored for someone passionate about leveraging data to drive value and equipped with a robust background in analytics engineering. You will play a critical role in making data accessible and actionable, empowering data-driven decision-making across the organization. Collaborating with various product teams, you will lead initiatives that shape our data vision and architecture, ensuring impactful outcomes.
Join our innovative team at Continental AG as an IT Engineer specializing in Data & Analytics DevOps. In this role, you will be responsible for developing and maintaining data pipelines, ensuring the integrity and efficiency of our data processing workflows, and collaborating with cross-functional teams to drive data-driven decision-making. You will leverage your expertise in DevOps practices to enhance our data analytics capabilities and streamline our data operations.
Join Continental AG as an IT Engineer specializing in Data & Analytics DevOps. In this role, you will be responsible for designing, implementing, and maintaining robust data analytics solutions. You will work closely with cross-functional teams to ensure data integrity, availability, and security.Key responsibilities include:Developing and optimizing data pipelines.Monitoring and enhancing data processing workflows.Collaborating on data architecture and analytics strategy.We seek a proactive individual who is passionate about leveraging data for strategic decision-making and driving innovation.
Join our dynamic team at Western Digital as a Staff Engineer in Data Analytics Engineering. In this role, you will leverage your expertise in data analytics to drive innovative solutions and contribute to our mission of pushing the boundaries of data storage technology. Your analytical skills will play a vital role in transforming data into actionable insights that enhance our products and services.
Role overview Western Digital Corporation seeks a Senior HR Data Analyst in Bengaluru. This role centers on working with complex HR data, using SQL and analytics to provide insights that inform strategic decisions. The focus is on making data understandable and actionable for the HR team and leadership. What you will do Work with large HR datasets, applying SQL and analytics tools to extract meaningful information Develop clear data visualizations that highlight trends and support HR strategies Present data findings and offer recommendations to improve HR processes Requirements Extensive experience with SQL and data analysis Ability to design effective data visualizations Strong analytical skills and attention to detail Genuine interest in using data to enhance HR outcomes
Join Nagarro as an Associate Staff Engineer in Data Analytics, where you will be integral to transforming data into actionable insights. Our team is dedicated to leveraging cutting-edge technology and innovative methodologies to drive business success. You will collaborate with cross-functional teams to develop data-driven solutions and enhance operational efficiency.
Freshworks Inc. seeks a Senior Manager - Product Analytics (Individual Contributor) to join the team in Bengaluru. This position centers on advanced data analysis to guide product decisions and support the direction of Freshworks’ offerings. Key Responsibilities Examine large, complex datasets to identify trends and patterns that influence product strategy. Deliver clear, practical insights to product teams, enabling informed decisions. Recommend data-driven improvements to enhance user experience and product performance. Operate as a senior individual contributor, collaborating with cross-functional partners while working independently. Requirements Extensive experience in product analytics and interpreting data. Proven ability to work with substantial and intricate datasets. Skilled at turning analysis into actionable recommendations for product teams. Comfortable working independently at a senior level.
Discover OktaAs the leader in identity management, Okta empowers individuals to securely access any technology, anywhere, on any device or application. Our versatile products, including the Okta and Auth0 Platforms, prioritize secure access, authentication, and automation, making identity integral to both business security and growth.At Okta, we value diverse perspectives and experiences. We seek lifelong learners who can enrich our culture with their unique backgrounds.Become a part of our mission! We are crafting a world where identity is in your hands.Senior Analyst, Field AnalyticsJoining Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team is pivotal in driving insights and scalability within our global field organization. We are the engine behind analytics and strategic analysis, enabling our leaders to make informed, data-driven decisions that chart Okta's growth trajectory.In this role, you will develop impactful technical resources, from executive Tableau dashboards to standardized Snowflake datasets, while pioneering AI-driven analytics methodologies. Collaborating with US-based leadership and local teams, you will ensure our reporting framework is scalable, precise, and closely aligned with Okta’s global GTM strategy.
Discover OktaOkta is a leader in identity management, empowering individuals to securely access any technology across devices and applications. Our versatile products, the Okta Platform and Auth0 Platform, ensure secure access, authentication, and automation, placing identity at the forefront of business security and advancement.At Okta, we value diverse perspectives and experiences. We are in search of lifelong learners who can contribute to our mission with their unique backgrounds.Join our team as we create a future where Identity is truly yours.Position Overview: Manager of Field AnalyticsAs a pivotal member of Okta’s Go-To-Market Strategy & Operations team, the Field Analytics group serves as the backbone for strategic analysis, enabling decision-makers to leverage data-driven insights for Okta’s growth trajectory.We are seeking a dynamic Manager of Field Analytics to spearhead our analytics delivery team in India. Reporting to the Director of Field Analytics, you will cultivate and lead a high-performing team of analysts dedicated to dashboarding, data architecture, and operational documentation. Your goal is to enhance our global analytics capabilities by integrating technical expertise with innovative AI technologies to boost Go-To-Market efficiency.Key Responsibilities:Team Leadership & Mentorship: Recruit, lead, and nurture a team of analysts in India, fostering a culture of technical excellence, accountability, and continuous learning.Global Analytics Delivery: Oversee the production of impactful Tableau dashboards and the establishment of standardized Go-To-Market data sets within Snowflake to empower global field leaders.Documentation & Data Governance: Strategize for comprehensive data documentation and metric definitions, ensuring a singular source of truth across our Salesforce and Snowflake platforms.AI Integration & Automation: Advocate for the incorporation of Generative AI (such as Gemini, ChatGPT) and automation within the team’s processes to streamline SQL generation, automate reporting, and improve data accessibility.Stakeholder Collaboration: Collaborate with US-based leadership to synchronize delivery roadmaps, ensuring the India team's output aligns with the evolving needs of the global organization.
Full-time|₹500K/yr - ₹2M/yr|On-site|Bengaluru, Karnataka, India
Role overview Weekday's Client seeks a Big Data Developer in Bengaluru to improve and maintain data pipelines and processing systems that drive business intelligence and analytics. The position works with large volumes of both structured and unstructured data, spanning cloud and on-premise environments. Collaboration with data engineers, analysts, and product teams is central to delivering reliable, high-performance solutions that support business decisions. What you will do Design, develop, and maintain scalable data pipelines and big data processing systems. Build and optimize data architectures using AWS services to increase availability and performance. Use PostgreSQL for data storage, querying, and performance tuning. Process and analyze large datasets to enable analytics and reporting. Work with cross-functional teams to gather requirements and deliver data solutions. Maintain data quality, integrity, and security across all systems. Optimize data workflows for better performance, scalability, and cost efficiency. Implement ETL and ELT processes for smooth data ingestion and transformation. Monitor and troubleshoot data pipelines to ensure reliability and uptime. Integrate cloud and on-premise data systems to support hybrid environments. Document data architecture, workflows, and best practices for future growth. Location This role is based in Bengaluru, Karnataka, India.
Collaboration Fuels Innovation. Join Roku in Revolutionizing Television ViewingAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to enhance how audiences experience television globally. We pioneered streaming technology and aim to connect consumers with the content they cherish, empower content publishers to grow and monetize their audiences, and offer advertisers unique tools to engage effectively with consumers.From day one at Roku, your contributions will be meaningful and recognized. As a rapidly expanding public company, we foster an environment where everyone plays a vital role. You’ll have the chance to delight millions of TV streamers worldwide while gaining invaluable experience across diverse disciplines. Team Overview The Data Management Platform (DMP) team is pivotal within Roku's Advertising division, spearheading audience management initiatives that drive decision-making across the advertising landscape. Our team develops and oversees products that facilitate advanced audience segmentation and management for advertisers, aligning with internal operational requirements. We collaborate closely with Product Managers, Machine Learning experts, Ad Sales, Ads Operations, and various teams within Advertising Engineering to deliver impactful solutions. Looking ahead, we are investigating AI-driven capabilities to further optimize advertising campaigns and enhance our platform's operational efficiency. Role Overview We are in search of a talented Senior Software Engineer skilled in big data technologies such as Apache Spark and Apache Airflow. This hybrid role will bridge software engineering expertise with data management, focusing on developing innovative solutions that enhance our advertising capabilities.
Teamwork makes the stream work. Roku is revolutionizing the way the world experiences televisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to empower every television globally. With a pioneering spirit, we connect users to their favorite content, support content creators in growing their audiences, and provide advertisers with innovative ways to engage viewers.From your first day at Roku, you'll be an integral part of our journey. As a fast-growing public company, everyone here plays a crucial role. Join us in delighting millions of TV streamers worldwide while gaining invaluable experience across various disciplines. About the TeamThe Roku Data Engineering team is dedicated to building a state-of-the-art big data platform that empowers both internal and external stakeholders to leverage data for business growth. Our team collaborates closely with business partners and engineering teams to gather metrics on essential initiatives for success. As a Senior Data Engineer focused on device metrics, you will design data models and develop scalable data pipelines to capture critical business metrics across our diverse range of Roku devices. About the RoleAt Roku, we connect users to the streaming content they love and enable content publishers to monetize large audiences while providing advertisers with unique capabilities to engage consumers. Our Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and partnerships with TV brands and pay-TV operators. With millions of devices sold in numerous countries, thousands of streaming channels, and billions of hours of content consumed, the development of a scalable, highly available, fault-tolerant big data platform is crucial to our success. This role is based in Bengaluru, India and requires hybrid work, with three days in the office. What You'll Be DoingDevelop and maintain highly scalable, fault-tolerant distributed data processing systems (both batch and streaming) handling terabytes of data ingested daily and managing a petabyte-sized data warehouse.Design and implement efficient data models and pipelines that support business growth and decision-making.
Join our dynamic team as a Senior Talend Developer / Lead Data Engineer at Bosch Group in Bengaluru. In this pivotal role, you will leverage your expertise in Talend to drive data integration processes and lead engineering initiatives that enhance our data infrastructure.
Harness is an innovative AI Software Delivery Platform company founded by the visionary technologist and entrepreneur Jyoti Bansal, who previously established AppDynamics, which was acquired by Cisco for a staggering $3.7 billion. With approximately $570 million in funding, Harness is currently valued at $5.5 billion and supported by prestigious investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.As the landscape of software development evolves with the acceleration of AI-driven code creation, the focus has shifted to the broader aspects of software delivery, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline these processes, enabling teams to deliver software more swiftly while ensuring security and governance throughout the software delivery lifecycle.In the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, 3 trillion protected API calls, and managed $2.8 billion in cloud expenditure. Our solutions have empowered clients such as United Airlines, Morningstar, and Choice Hotels to amplify their release speeds by as much as 75%, cut cloud costs by up to 60%, and achieve a remarkable 10x increase in DevOps efficiency.With a diverse and global team across 14 offices spanning 25 countries, Harness is at the forefront of shaping the future of AI software delivery. We are on the lookout for exceptional talent to join our mission and propel us forward.Position SummaryWe are developing a cohesive data platform that will serve over 20 product modules, facilitating the ingestion, processing, and retrieval of data to empower analytics and systems at scale. This position is integral to the Data Activation & Analytics initiative under the Unified Data Platform framework, concentrating on creating a self-service analytics platform equipped with a semantic modeling layer, a domain-specific language (DSL) query layer, and an analytics materialization layer. The platform will enable product teams to construct custom dashboards independently, as well as provide readily embeddable analytics modules.About the RoleYou will spearhead the design, architecture, and development of this platform alongside senior architects, tackling complex challenges related to DSL-based query expressions, achieving sub-second read latency, multi-tenancy, high concurrency, and more.
Razorpay Software Private Limited is seeking a Senior Manager I, Analytics to join its Bengaluru team. This role centers on leading analytics initiatives within a company known for its impact on digital payments and financial technology in India. Role overview The Senior Manager I, Analytics will work with large-scale financial data, supporting Razorpay’s mission to simplify payments for businesses of all sizes. The position involves collaborating with teams that build AI-powered payment solutions, fraud detection systems, automated reconciliation, and predictive financial tools. Expect to engage with partners across banks, regulators, and the broader fintech ecosystem. What you will do Guide analytics projects that support millions of businesses and high-profile clients, including major startups and enterprises. Help shape the future of payments by providing actionable insights from complex data sets. Work alongside product and engineering teams to deliver scalable technology solutions. Requirements Experience in analytics or data-driven roles, ideally within fintech or payments. Ability to work with advanced technology stacks and large transaction volumes. Strong communication skills for cross-functional collaboration. Work culture Razorpay values ownership, transparency, and continuous learning. The company encourages curiosity and initiative, offering opportunities to grow and contribute to meaningful projects. Bureaucracy is kept to a minimum, allowing ideas to move quickly from concept to implementation.
Empower Every Identity, from AI to HumanAt Okta, we believe that identity is the cornerstone of unlocking AI’s potential. Our mission is to secure AI with a trusted and neutral infrastructure that organizations can rely on to embrace this transformative era. This endeavor demands an unwavering commitment to tackling intricate challenges with real-world implications. We seek innovative builders who act with urgency and execute with precision.This is your chance to engage in career-defining work as we pursue our mission with passion. If you share our vision, let’s connect.The Opportunity:Are you a data-driven storyteller with a knack for converting raw data into actionable insights that lead to measurable business outcomes? Do you excel at collaborating directly with business stakeholders to discern their needs and craft sophisticated data solutions? If so, we invite you to explore an exciting opportunity as a Business Analytics Manager in our expanding team in Bengaluru. In this pivotal role, you will equip our business users with the data and visualizations necessary for informed decision-making, enhancing our Finance operational performance, business strategies, and decision-making processes. You will oversee the analytics lifecycle, from initial engagement to the delivery of impactful dashboards and datasets.Please note - this role operates on PST hours, requiring work from 5 PM to 2 AM IST. This is a hybrid position, with expectations of working in the office on designated days based on local requirements. We will continuously evaluate this arrangement, which may change based on business needs and evolving circumstances.What You'll Do:Strategic Alignment: Ensure analytics initiatives align with business objectives and contribute to the development of data-driven strategies that yield measurable improvements.Trusted Advisor: Collaborate closely with business users across departments to understand their strategic goals, identify analytical requirements, and translate those into clear, actionable data solutions.Consultative Analysis: Engage stakeholders in exploring business inquiries, guiding them on suitable analytical methods, and assisting in defining key metrics and performance indicators (KPIs).Data Architecture & Design: Partner with our Data and Insights team to design and develop robust, efficient data models and datasets optimized for visualization and analysis.
