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Proficient in data engineering tools and technologies such as SQL, Python, and ETL processes. Experience with cloud platforms like AWS, Azure, or Google Cloud. Strong understanding of data modeling, data warehousing, and database design. Ability to work collaboratively in a team-oriented environment. Strong analytical and problem-solving skills.
About the job
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.
About Continental AG
Continental is a global leader in automotive manufacturing and technology solutions, committed to innovation and sustainability. With a rich history and a diverse workforce, we are dedicated to shaping the future of mobility and enhancing the driving experience for our customers worldwide.
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Join Continental AG as an IT Engineer specializing in Data Lakehouse solutions tailored for Sales and Finance. This role offers the opportunity to work on cutting-edge data management systems that drive business insights and enhance decision-making processes. You will collaborate with cross-functional teams to design, implement, and maintain advanced data architectures that support our organization's strategic goals.
Join our dynamic team as a Data Lakehouse IT Engineer where you will play a key role in designing and implementing cutting-edge data solutions. You will be responsible for managing data pipelines, ensuring data quality, and optimizing the data architecture to support our analytics initiatives. Your expertise in cloud technologies and data management will be crucial in driving our data strategy forward.
Join Continental’s innovative team as a Data Lakehouse IT Engineer in Bengaluru. In this role, you will leverage cutting-edge technologies to develop and manage data lakehouse solutions that drive data accessibility and analytics across our organization. Your expertise will help transform raw data into actionable insights, empowering teams to make informed decisions.
Join Continental AG as a Data Lakehouse IT Engineer in Bengaluru! We are looking for a passionate and skilled individual to design, implement, and maintain our data lakehouse solutions. In this role, you will work closely with cross-functional teams to enhance our data architecture and ensure the seamless flow of data across our systems.
Join Continental as a Tech Lead IT Engineer specializing in Data Lakehouse solutions. In this pivotal role, you will lead innovative projects, manage technical teams, and drive data strategy initiatives.
Join our dynamic team at Continental as an IT Engineer specializing in Data Lakehouse, focusing on Measurement & Evaluation (M&E) and Quality Management (QM). In this exciting role, you will leverage your expertise to optimize data processes, enhance system performance, and ensure the highest standards of data quality and integrity.As a key player in our IT department, you will collaborate with cross-functional teams to design and implement innovative solutions that drive data efficiency and support our strategic initiatives. Your contributions will be pivotal in shaping our data landscape and advancing our technological capabilities.
About Euromonitor InternationalEuromonitor International is a global leader in data analytics and market research, providing comprehensive insights into markets, industries, economies, and consumer behavior. We deliver unparalleled data on thousands of products and services, establishing ourselves as the primary resource for organizations aiming for growth. With our insights, clients are empowered to make informed, strategic decisions confidently.About the RoleAs a Finance Data Scientist, you will play a pivotal role in transforming how Finance, Operations, and Commercial teams utilize data to inform decision-making processes. This hybrid position merges deep financial expertise with advanced analytics, data modeling, and visualization skills. Your work will support both structured reporting and intricate, ad hoc problem-solving, ensuring the organization has precise, trustworthy, and forward-looking insights.You will collaborate closely with various teams including FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior business leaders. A significant aspect of this role is to modernize financial reporting, enhance forecasting capabilities, and develop scalable analytical products that improve business understanding. This position is vital in connecting Finance with Technology and Data teams, guaranteeing that financial logic, controls, and definitions are seamlessly integrated into data products and reporting systems. You will need to be a confident presenter, capable of communicating effectively and gaining buy-in from a diverse range of stakeholders.Key ResponsibilitiesLead and execute financial analyses, modeling, and scenario planning.Support FP&A cycles, including budgeting, forecasting, and performance evaluations.Develop and refine Power BI dashboards (utilizing Power Query, DAX, and advanced data modeling) that serve as authoritative sources across revenue, cost, margin, headcount, and operational KPIs.Create predictive and statistical models (e.g., regression, classification, anomaly detection, clustering) to enhance forecasting accuracy and operational performance.Translate business rules and financial logic into robust, governed data models while embedding reconciliation processes and financial controls within data pipelines.Work closely with FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior leaders on impactful analytical projects and ad hoc problem-solving initiatives.Automate reporting refreshes and pipelines, streamlining manual reporting processes into reliable and repeatable systems.
Informagroup PLC seeks a Finance Data Analyst to join its Bengaluru office. This role centers on examining financial data, developing reports, and contributing to decisions that guide the company’s financial strategy and growth. What you will do Review and interpret financial data to spot trends and provide insights Create and update regular financial reports for use by internal teams Work with colleagues from different departments to inform business decisions Location This position is located in Bengaluru.
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 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 Stripe as a Finance Analytics Analyst within our Finance & Strategy team. In this dynamic role, you will leverage data analytics to drive strategic financial decisions, optimize performance, and support our global growth initiatives. You will work closely with cross-functional teams to provide insights that enhance our financial operations.
* 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.
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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.
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.
Role Overview weekday-1 is looking for a Data Engineer in Bengaluru, Karnataka. This role focuses on building and maintaining data pipelines to keep information moving smoothly across company systems. The work supports analytics and reporting that help guide business decisions. What You Will Do Design, implement, and maintain data pipelines Work with teams from different functions to understand data needs Support analytics efforts by ensuring reliable and accessible data Help deliver insights that improve business performance Location This position is based in Bengaluru, Karnataka, India.
Join our innovative team as a Lead Data Engineer at weekday-1, where your expertise in data architecture and engineering will play a pivotal role in driving our data initiatives. You will be responsible for designing and implementing robust data pipelines, ensuring data integrity, and optimizing data storage solutions. Collaborate with cross-functional teams to deliver actionable insights and enhance our data-driven decision-making processes.
Join our dynamic team at Betsol as an Azure Data Engineer, where you will play a crucial role in designing, implementing, and maintaining data solutions on the Azure cloud platform. Your expertise will help drive our data strategy and ensure that our data architecture supports our business goals.
Role overview Quince seeks a Staff Data Engineer in Bengaluru, Karnataka, India. This position centers on building and maintaining the core infrastructure behind the company’s data platform. The work directly supports major data initiatives and helps drive informed decisions throughout the business. What you will do Design and develop infrastructure that powers the data platform Maintain and improve systems supporting data needs across the organization Collaborate with other teams to strengthen the broader data ecosystem Requirements Solid background in data engineering Experience architecting and developing data infrastructure Comfort working collaboratively to address challenges Motivation to use data for meaningful solutions Appreciation for innovation and ongoing improvement
Apr 27, 2026
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