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Experience Level
Entry Level
Qualifications
We are looking for candidates with a strong analytical mindset and proficiency in programming languages such as Python or R. Familiarity with machine learning algorithms and data visualization tools is a plus. A Bachelor's degree in Computer Science, Data Science, or a related field is preferred.
About the job
Wabtec Corporation is hiring a Data Science Engineer in Bengaluru. This role focuses on using data analytics to improve operations and support innovation across the company.
What you will do
Develop data models to support business needs
Conduct analyses to uncover insights and trends
Work with teams from different functions to put data-driven solutions into practice
Help strengthen decision-making through analytics and modeling
About Wabtec Corporation
Wabtec Corporation is a leading provider of technology-based equipment and services for the rail industry. We are committed to innovation and excellence, and our diverse team of professionals works collaboratively to deliver cutting-edge solutions. At Wabtec, you will have the opportunity to grow your career in a dynamic and supportive environment.
Clari seeks a Manager, Engineering to lead its Data Science team in Bengaluru, India. This position guides engineers and data scientists as they create and refine products that help drive smarter business decisions. Role overview This manager oversees projects focused on data science, working with a group dedicated to building and improving data-driven produ…
Role overview Wabtec Corporation is hiring a Data Science Engineer in Bengaluru. This role focuses on using data analytics to improve operations and support innovation across the company. What you will do Develop data models to support business needs Conduct analyses to uncover insights and trends Work with teams from different functions to put data-driven solutions into practice Help strengthen decision-making through analytics and modeling
Company OverviewCommerceIQ is at the forefront of transforming digital commerce through its innovative AI-driven platform. Our comprehensive eCommerce management solutions empower brands to make informed, rapid decisions using insights that enhance product visibility, optimize retail media return on investment, and drive additional sales across the world's largest marketplaces. With a global presence that spans over 50 countries and partnerships with more than 900 retailers, we support over 2,200 leading brands, including top CPG giants like Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez, in streamlining their marketing, supply chain, and sales operations. Backed by over $200 million in funding from prestigious investors such as SoftBank, Insight Partners, and Madrona, we are committed to helping brands grow their market share profitably. Discover more at commerceiq.ai.
About the Role eversana1 is hiring a Data Engineer in Bengaluru. This position focuses on designing, building, and maintaining data pipelines and architecture. The work supports teams across the company by making data reliable and accessible. What You Will Do Create and manage data pipelines from diverse sources Develop and maintain data architecture to support business needs Work closely with other teams to ensure data is accurate and available Location This role is based in Bengaluru.
About Us At Coupang, our mission is to astonish our customers. We thrive on the feedback that echoes, “How did we ever live without Coupang?” Driven by a passion to simplify shopping, dining, and everyday living, we are reshaping the multi-billion-dollar e-commerce landscape from the ground up. Recognized as one of the fastest-growing e-commerce entities, we have built an unmatched reputation as a dominant and dependable player in South Korean commerce. We combine the dynamic spirit of a startup with the extensive resources of a large global public company. This unique blend empowers our continuous growth and the rapid launch of innovative services. We are a community of entrepreneurs, all dedicated to driving new initiatives and engendering transformative innovations. At Coupang, you will witness personal and professional growth for yourself, your colleagues, your team, and the company as a whole. Our commitment to redefining commerce is unwavering. We continually push the limits of what’s possible to address challenges and transcend traditional barriers. Join Coupang today and help us craft an extraordinary experience in this interconnected and high-tech world. Role Overview As a Senior Staff Data Engineer on the Core Data and Ingestion team, you will lead the architecture, design, and development of robust Data Ingestion systems, Data Lakes, Data Warehouses, and Data Marts. Your work will enable data-driven decision-making across various departments within Coupang. In this pivotal role, you will collaborate with diverse business domains to identify their data needs, and leverage Big Data Infrastructure to design and deliver reliable, scalable data products that process terabytes of data daily, ultimately enhancing our customers' experience.
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.
About Us:At Endpoint Clinical, we are pioneers in providing interactive response technology (IRT®) systems and solutions tailored for the life sciences sector. Since our inception in 2009, we have dedicated ourselves to empowering sponsors and pharmaceutical companies to navigate the complexities of clinical trials successfully. Our cutting-edge solutions, delivered via our proprietary PULSE® platform, are designed to enhance supply chain efficiency, reduce operational costs, and guarantee precise patient dosing. Headquartered in Raleigh-Durham, North Carolina, we have established our presence across the United States, Europe, and Asia.Position Overview:The Data Management Specialist will play a crucial role in overseeing all facets of data management at Endpoint. This includes executing data modifications, conducting verifications, managing data transfers, and facilitating data integrations, supplemented by necessary documentation. The ideal candidate will operate autonomously with minimal supervision from Senior or Lead Data Specialists. This role necessitates collaboration with internal study teams and, at times, with external end users and sponsors.
Join Tietoevry Create as a Data Science Lead specializing in AI and Machine Learning, where you will spearhead innovative projects that leverage data to drive business decisions. In this pivotal role, you will lead a talented team of data scientists and collaborate with cross-functional teams to develop cutting-edge AI solutions.Your expertise will guide the strategic direction of our data initiatives and ensure the successful implementation of ML models in production. If you are passionate about transforming data into actionable insights and are eager to make a significant impact, we want to hear from you!
We are seeking an experienced Data Engineering Manager to lead our data engineering team. In this role, you will oversee the design, development, and implementation of scalable data pipelines and architecture. You will collaborate with cross-functional teams to empower data-driven decision-making across the organization.
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.
Cognite is at the cutting edge of industrial digitalization, specializing in innovative AI and data solutions that tackle some of the most challenging and high-impact issues facing industries today. With an unparalleled industrial legacy and a robust suite of AI capabilities, including low-code AI agents, Cognite is transforming the digital landscape to enhance operational efficiency.Our ambitious goal is clear: to unlock $100 billion in customer value by 2035 and revolutionize the way global industries operate.
Join Western Digital as a Senior Scientist in Data Science, where you will lead pioneering research and development projects in the realms of Generative AI, interpretable machine learning, and statistical analysis. You will work alongside a talented team of data scientists and engineers to innovate and apply advanced algorithms to solve complex problems.
Join our dynamic team at Smiths Group as an Engineering Master Data Management (MDM) Manager. This pivotal role requires a strategic thinker with a strong background in data management and engineering principles. You will be responsible for overseeing the implementation and management of MDM solutions, ensuring data accuracy and integrity across various platforms.Key responsibilities include collaborating with cross-functional teams to define data governance policies, leading MDM projects from conception to deployment, and driving continuous improvement initiatives. Your expertise will help us enhance data quality, streamline processes, and support our organizational goals.
Harness, a leader in AI-driven software delivery, was founded by notable technologist Jyoti Bansal, who is also the founder of AppDynamics, acquired by Cisco for a staggering $3.7B. With approximately $570M raised in funding and a valuation of $5.5B, Harness is supported by top-tier investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI revolutionizes code creation, the focus has shifted to optimizing processes beyond code – including testing, deployments, application security, reliability, compliance, and cost efficiency. Harness leverages AI and automation to enhance this "outer loop," enabling teams to accelerate software delivery without compromising security or governance throughout the entire software lifecycle.Utilizing the Harness AI and Software Delivery Knowledge Graph, our platform seamlessly integrates intelligent automation and governance controls throughout the software delivery process.In the past year alone, Harness facilitated over 185M deployments, 82M builds, conducted 8M security scans, and managed $2.8B in cloud expenditure, empowering clients like United Airlines and Choice Hotels to boost release speeds by up to 75% and reduce cloud costs by 60% while achieving tenfold improvements in DevOps efficiency.With a global footprint across 14 offices in 25 countries, Harness is redefining the future of AI software delivery – and we are eager to welcome exceptional talent to join our journey.Position SummaryAs an Engineering Manager under the AppSec Platform charter, you will design and develop a multi-cloud, portable, open-source streaming-first data platform that powers our API observability and security products. Your team will also manage common services in the authentication and authorization domains. This platform is vital as the core pillar for customer-facing analytics and consumption layers for various product modules including Catalog, Runtime Protection, and Application/AI Security. You will lead and cultivate a team of 8-10 engineers, driving execution, fostering innovation, and delivering high-impact platform capabilities. Additionally, you will enhance operational excellence through monitoring, reliability improvements, and cost optimization of large-scale data systems, all while contributing to our mission of becoming a global leader in the AppSec domain.
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.
* Design, implement, and maintain robust data ingestion pipelines that are secure and scalable, sourcing data from diverse systems such as SAP, Salesforce, SharePoint, APIs, and legacy manufacturing platforms.* Develop and enhance metadata-driven services to facilitate discoverability, access governance, and operational transparency of enterprise data.* Act as a technical authority and cross-functional facilitator for the acquisition, quality, and compliance of both structured and unstructured data.* Establish and oversee comprehensive data quality management, including monitoring and reporting.* Contribute to a global data engineering team that supports all major business domains.* Spearhead the ingestion and metadata service implementation for over 100 enterprise data sources.* Collaborate with IT, cybersecurity, infrastructure, and architecture teams to ensure secure and sustainable data delivery.Main Responsibilities:▪ Construct and maintain extraction services using Python or Scala (e.g., Debezium Server, custom APIs, rclone).• Implement Change Data Capture (CDC), delta, and event-based patterns.• Facilitate push-based HTTP and Kerberos-authenticated DLT delivery.• Establish, operate, and troubleshoot SAP extraction using tools like Theobald Extract Universal.• Integrate with systems such as Salesforce, SharePoint, and other API or file-based endpoints.▪ Develop a user-friendly, web-accessible data catalog application, featuring dataset profiles, metadata, and usability enhancements.▪ Integrate dataset discoverability, preview/exploration features, and lineage information using Unity Catalog as a backend metadata system.▪ Design and implement structured access request workflows encompassing submission, approval chains, audit trails, and enablement triggers.• Conduct design reviews with the Cybersecurity team.• Ensure proper documentation and compliance for all interfaces and data ingress points.• Manage audit and traceability requirements.• Collaborate with IT and business users to translate requirements into scalable technical solutions.• Serve as a technical escalation point for complex source integration challenges.▪ Define and execute a multi-layered data quality framework, incorporating unit-level, integration-level, and cross-pipeline validation rules.▪ Establish centralized, version-controlled storage of Data Quality (DQ) rules, integrating them into orchestration and CI/CD pipelines.▪ Implement automated DQ monitoring with varying severity levels (Critical, High, Medium, Low) and enable flagging, filtering, and quarantining mechanisms at relevant pipeline stages.▪ Work closely with source system owners and business stakeholders to define meaningful and actionable DQ thresholds.
Join our innovative team at Continental as a Data Engineering IT Engineer, where you'll play a crucial role in driving our data initiatives. In this position, you will design, develop, and maintain robust data pipelines and architectures that support our advanced analytics and business intelligence goals. Collaborate with cross-functional teams to ensure data quality and integrity while leveraging cutting-edge technologies to enhance our data-driven decision-making.
Join Continental as a Data Engineering IT Engineer in our innovative team in Bengaluru. In this role, you will be responsible for designing and implementing data solutions that drive business intelligence and analytics. You will work closely with cross-functional teams to enhance data architecture and ensure data integrity, enabling data-driven decision-making across the organization.Your expertise in data processing and engineering will be crucial as you develop scalable data pipelines and optimize data workflows. This is an exciting opportunity to contribute to cutting-edge projects and make a significant impact on our technological landscape.
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 smallest as a Research Data Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage advanced data engineering skills to collect, analyze, and interpret complex datasets. Collaborate with cross-functional teams to drive innovative solutions and contribute to impactful research projects.
