Data Privacy Engineer

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.

* 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.

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.

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.

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.

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.

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

Collaboration Drives Innovation. Roku: Innovating the Future of TelevisionRoku stands as the leading TV streaming platform across the U.S., Canada, and Mexico, with an ambitious goal to empower every television globally. As a pioneer in streaming technology, Roku connects viewers with their favorite content, supports content creators in building expansive audiences, and offers advertisers exclusive tools to engage effectively with consumers.From your first day at Roku, you'll play a crucial role within a dynamic and thriving organization. Here, your contributions are recognized and valued. We provide you with an opportunity to engage and delight millions of TV streamers worldwide while gaining rich experience across various domains.

Berkadia Services India Pvt Ltd is looking for a Senior Data Engineer in Bengaluru, Karnataka. This position centers on building and maintaining data solutions that help drive the company’s business objectives. Role overview The Senior Data Engineer will design, develop, and support data pipelines and architectures. This work supports ongoing innovation and helps ensure reliable access to high-quality data across the organization. What you will do Develop and maintain scalable data pipelines and system architectures. Monitor data quality and integrity, performing validation as needed. Work closely with teams across the company to understand data requirements and deliver insights. Apply best practices in data management and governance throughout all projects. Collaboration This role involves regular interaction with cross-functional teams, aiming to support data-driven decision making and uphold high standards in data management.

Join Our Team and Transform Streaming! Roku is revolutionizing the way the world experiences televisionRoku stands as the leading TV streaming platform across the U.S., Canada, and Mexico, with an ambitious vision to empower televisions globally. We are the pioneers of streaming technology, uniting consumers with their favorite content, assisting publishers in building expansive audiences, and providing advertisers with unique tools for consumer engagement. From your very first day at Roku, you will play a crucial role in our success. As a rapidly growing public enterprise, every team member’s contributions are valued and impactful. This is an extraordinary chance to bring joy to millions of TV streamers worldwide while accumulating invaluable experience across various fields.

We are seeking an experienced IT Engineer to take on the role of Tech Lead in our Data Engineering team. This position involves leading projects aimed at optimizing data workflows and enhancing data architectures. You will work closely with cross-functional teams to ensure the seamless integration of data solutions and foster innovation within the organization.

Teamwork Makes the Stream Work. Roku is Revolutionizing Television ViewingRoku stands at the forefront as the leading TV streaming platform across the U.S., Canada, and Mexico, with an ambitious goal to power every television worldwide. We initiated the streaming journey for TVs and aim to be the central platform connecting the entire TV ecosystem. Our mission is to connect viewers with their favorite content, empower publishers to grow and monetize large audiences, and provide advertisers with innovative tools to engage effectively.From your first day at Roku, your contributions will be valued and impactful. We are a rapidly expanding public company where every team member plays a crucial role. Join us in delighting millions of viewers globally while gaining significant experience across diverse disciplines. About the Team The Data Insights team is integral to Roku’s Advertising organization, spearheading measurement and analytics efforts that drive strategic decisions within the advertising landscape. We craft and oversee products that yield actionable insights for advertisers while fulfilling the operational and analytical requirements of internal teams. Collaboration is key as we partner with Product Managers, Data Scientists, Ad Sales, Ads Operations, and various groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are investigating AI-driven measurement capabilities to enhance advertising campaign effectiveness and bolster internal analytics. About the Role We are in search of a talented Senior Software Engineer with extensive expertise in big data technologies, such as Apache Spark and Apache Airflow. This hybrid role merges software engineering and data engineering, necessitating skills in designing, building, and maintaining scalable systems for application development and large-scale data processing. In this position, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that fuel essential analytics and measurement capabilities. You will engage with technologies including Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, and StarRocks.

Join 6sense as a Software Engineer III focusing on Data! In this pivotal role, you will leverage your expertise to build data-driven solutions that propel our innovative platform forward. Collaborate with cross-functional teams to design, develop, and optimize data processes that enhance our offerings and drive business success.