Redpanda Data jobs

Principal Consultant, Red Team (Unit 42) Riyadh, Saudi Arabia posted: Posted 24 Days Ago

Data Engineer Rua Santos Dias No. 1121, Senhora da Hora, Sao Mamede de Infesta, U21 4465-255 Matosinhos, Portugal posted: Posted Yesterday

Data Engineer, Alexa Smart Home Bengaluru, Karnataka, IND The Alexa Smart Home Team is looking for a talented, highly motivated Data Engineer to join our Decision Sciences team. We provide actionable business insights that inform future products and services that will power the next generation of Alexa-enabled smart home devices. As a Data Engineer, you will work in one of the world's largest and most complex data-warehouse environments. You will work closely with Product Management, Software Development, Data Science, and other peer Data Engineering teams to develop scalable and innovative analytical solutions, process and store terabytes of low latency structured and unstructured data, and enable the Smart Home team to build successful, data driven strategies to provide the best customer experience. Data privacy is the top priority, and you will have the opportunity to design data infrastructure that delivers the best-in-class data privacy and compliance for retaining the customer trust. You will be responsible for designing and implementing a data integration and analytical environment using various tools and using Python, Scala, or Java to automate the ETL, analytics, and data quality platform from the ground up. You will design and implement complex data models, model metadata, build reports and dashboards, and own data presentation and dashboarding tools for the end users of our data products and systems. You will write scalable, highly tuned SQL queries running over billions of rows of data and will develop data access platforms to drive adoption of data driven decision making across the Smart Home

Data Engineer, WW Ops Finance S&A Bengaluru, Karnataka, IND Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? Are you adept at implementing data governance practices and defining data access and quality standards? If you thrive in innovation and can deliver scalable Data Engineering Solutions, then the Worldwide Operations Finance Standardization & Automation (S&A) team has an exciting opportunity for you! We are seeking a customer-centric Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have complete trust in the data, technology, and tools to make data-driven business decisions. We are looking for a top-notch Data Engineer to be part of our Global Data Delivery organization, working with one of the world's largest and most complex data warehouse environments. As a Data Engineer in WW Ops S&A, you will design, implement and support scalable data infrastructure solutions and implement complex data models for Amazon Customer Fulfillment business. You will create solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, GenAI models and ad-hoc data requests. You should have excellent business and communication skills to be able to work with business owners, Finance and Product teams along with tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet

GDB/XD - Senior Specialist Data Governance (m/f/d) Country / Location India Senior Specialist Data Governance (m/f/d) Location: Hyderabad Unit: GDB/XD Contract: Permanent Job Grade: TBD Why this role matters Within the Data & AI Office, we implement BASF's Data & AI Governance Framework. Your role is focused on implementing the data strategy and enabling efficient, secure and compliant use of data across the company. Our goal is to make data easy to find, easy to use and safe - while supporting business value, innovation and AI use cases. You play a key part in federated data governance: governance is coordinated centrally but implemented close to the business. You will help embed data governance into daily work without slowing teams down. Your responsibilities You will facilitate and operationalize data governance across BASF, with a strong focus on collaboration and value creation: • Coordinate data governance activities across different stakeholders • Support the execution of BASF-wide data principles and governance guidelines • Define, implement and continuously improve data roles and responsibilities (e.g. Data Owners, Data Product Owners, Data Domain Owners) • Promote and support the nomination and onboarding of data roles in business • Develop and share processes, templates and best practices for data governance across the organization • Create transparency on data governance maturity, risks and improvement areas • Facilitate data usage with clear and secure agreements integrated into the Data Catalog • Identify, assess, and manage data-relate

Sr Data Analyst Buenos Aires - Retiro posted: Posted 17 Days Ago

Associate Data Scientist (Data Engineering) India - Hyderabad posted: Posted Yesterday

Sr. Data Engineer, WW Standardization & Automation Bellevue, Washington, USA Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? Are you adept at implementing data governance practices and defining data access and quality standards? If you thrive in innovation and can deliver scalable Data Engineering Solutions, then the Worldwide Operations Finance Standardization & Automation (SnA) team has an exciting opportunity for you! We are seeking a customer-centric Senior Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have complete trust in the data, technology, and tools to make data-driven business decisions. As a Senior Data Engineer in WWSNA, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions and implement complex data models for Amazon Inbound & Outbound Transportation business. As a Sr. DE you will create solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You should have excellent business and communication skills to be able to work with business owners, Product teams and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be responsible for designing, developing,

Senior Data Platform Engineer (AI & Lakehouse) CIUDAD DE MEXICO, CIUDAD DE MEXICO, Mexico, MX About the Role We are looking for a Senior Data Platform Engineer to help customers design and implement modern data platforms that enable scalable analytics and AI initiatives. This role is focused on building the data foundation behind AI solutions, including lakehouse architectures, data governance, data quality, data unification, and enterprise data modernization initiatives. The ideal candidate combines strong technical expertise with client-facing consulting skills, and has hands-on experience delivering real-world data platform or migration projects in complex enterprise environments. Key Responsibilities Design and implement modern data platform architectures, including data lakes and lakehouse environments. Lead technical discussions with customers to understand business and data challenges and translate them into scalable architecture solutions. Support enterprise data modernization and migration initiatives across cloud ecosystems. Define and implement data governance, data quality, metadata management, and data unification strategies. Collaborate with cross-functional teams including data engineers, architects, AI specialists, and business stakeholders. Serve as a trusted technical advisor for customers throughout the project lifecycle. Drive best practices around scalability, security, reliability, and performance of enterprise data platforms. Present technical solutions and architecture recommendations to both technical and business audiences. Contribute to AI-related initiatives by enabling high-quality and well-governed data foundations. Mentor junior engineers and promote knowledge sharing within the team. Preferred Background 5+ years of experience in Data Engineering, Data Architecture, or Data Platform roles. Proven experience delivering enterprise data platform, data lake, or lakehouse projects. Strong understanding

Data Engineer, Central InfraOps Analytics Team Herndon, Virginia, USA As a Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization. The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, operations, logistics, engineering and equipment management. Key job responsibilities Design, develop, and maintain ETL pipelines to ingest data into the data warehouse and data lake Create and optimize logical data models that drive physical design for the Infrastructure Operations organization Implement data quality measures and ongoing monitoring to ensure data integrity Build scalable, efficient, and maintainable data solutions that support business intelligence needs Optimize data storage and query performance across various data platforms Develop automated processes to replace manual data operations Collaborate with business stakeholders to understand data and reporting requirements Translate business questions into data solutions that drive decision-making Mentor and develop peers in data engineering best practices Participate in code reviews, design discussions, and team planning Improve self-service access to data for business users Enhance code quality and dependency management Automate manual processes to increase efficiency Identify and resolve root causes of complex data problems A day in the life At AWS, the Data Engineer fully embraces the "You Build It, You Own It" philosophy, taking complete ownership of data solutions from conception through deployment and ongoing maintenance. You design

Sr. Associate Data Scientist India - Hyderabad posted: Posted Yesterday

Senior Data Engineer, WW Standardization & Automation Luxembourg, LUX Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? Are you adept at implementing data governance practices and defining data access and quality standards? If you thrive in innovation and can deliver scalable Data Engineering Solutions, then the Worldwide Operations Finance Standardization & Automation (SnA) team has an exciting opportunity for you! We are seeking a customer-centric Senior Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have complete trust in the data, technology, and tools to make data-driven business decisions. As a Senior Data Engineer in WWSNA, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions and implement complex data models for Amazon Inbound & Outbound Transportation business. As a Sr. DE you will create solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You should have excellent business and communication skills to be able to work with business owners, Product teams and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be responsible for designing, developing, and

Data Engineer II, Analytics Delivery Services (ADS) Dallas, Texas, USA Analytics Delivery Services (ADS) is a centralized technology, data, reporting, and analytics organization that supports over a million employees globally, spanning support across NA Customer Fulfillment, Global Operations Learning & Development and PXT Capability & Impact, and Employee Relations (ER). We are looking for a skilled Data Engineer to build and optimize scalable data solutions that support our mission of securely managing, distributing, and storing ER data. This team plays a critical role in defining the data strategy for Employee Relations by architecting and maintaining data infrastructure that enables accurate and efficient data access for downstream applications and teams. The ideal candidate will collaborate with cross-functional teams, including Data Scientists, Business Intelligence Engineers (BIE), and Software Development Engineers, to deliver impactful data solutions. As a Data Engineer, you will analyze large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually deliver on people metrics. You will monitor and improve data infrastructure performance, troubleshooting bottlenecks and implementing optimizations as needed to make the data more actionable to manage business at scale. You will own many large datasets, production pipelines, automate anomaly detection model, data models, implement new data pipelines that feed into or from critical data systems at Amazon Key job responsibilities • Work closely with senior engineers to model, implement data pipelines that feed into or from people data across middle and last mile. • Own the delivery of

Staff Data Scientist Gurugram, India posted: Posted 22 Days Ago

Data Engineer, Worldwide Grocery Data & Analytics Austin, Texas, USA Worldwide Grocery Store Tech (WWGST) is seeking a Data Engineer to join our Data & Analytics team. In this position, you will be responsible for architecting robust data infrastructures and developing advanced data pipelines to unlock the full potential of our expansive data landscape. Key job responsibilities - Help build the infrastructure that powers data-driven decision making. Utilize software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems. - Manage and optimize usage of cloud computing resources, particularly on AWS, to support data infrastructure. - Collaborate with Business Intelligence Engineers to establish best practices for data reporting, analysis, integrity, testing, validation, and documentation. - Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning. - Drive the architecture and technology decisions that enable a world-class user experience. - Develop in-depth knowledge of the Amazon's various data sources to determine the appropriate data resources for each use case. - Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions - Thrive in an environment with a degree of ambiguity, quickly building proof of concepts, iterating, and improving data-driven solutions. - Create extensible designs and easy to maintain solutions with the long term vision in mind. - Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver

Specialist Data Analytics India - Hyderabad posted: Posted Yesterday

Data Engineer II, Zappos Analytics New York, New York, USA As a Data Engineer at Zappos, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will work closely with cross-functional teams to ensure that data is collected, processed, and made available for analysis, reporting, and machine learning applications. Your expertise in data pipelines, ETL processes, and data warehousing will be instrumental in shaping our data ecosystem. The right candidate will be excited by the opportunity to redesign our company's data architecture to support our next generation of data initiatives. Key job responsibilities • Design, build, and maintain robust data pipelines to acquire, process, and store data from various sources such as databases, APIs, and external data providers. • Develop and optimize ETL (Extract, Transform, Load) processes to clean, enrich, and structure raw data into a usable format for analysis and reporting. • Implement and manage data warehousing solutions to ensure efficient data storage, retrieval, and query performance. • Establish data quality standards, perform data validation, and proactively identify and address data quality issues. • Optimize data pipelines and storage solutions to handle large volumes of data while maintaining high performance and reliability. • Ensure data privacy and security by implementing access controls, encryption, and compliance with data protection regulations. • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide the necessary data infrastructure to support their needs. • Maintain comprehensive documentation for data pipelines, data models, and processes to

Data Steward India - Hyderabad posted: Posted 30+ Days Ago

Junior Data Engineer (Puerto Rico) 2 Locations posted: Posted 30+ Days Ago

Global Data Lead - Capital Equipment & Service Arden Hills, MN Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. Global Data Lead - Capital Equipment & Service About the Role: At Boston Scientific, the Global Data Lead - Capital Equipment & Service is integral to the management of the organi z ation's data assets (including transactional data, master data, and key performance indicators), ensuring data quality, compliance, and effective usage across all business units globally for data within the “ Capital Equipment & Service ” domain. This role collaborates closely with Global Process Owners, Data Owners, Data Analysts, and IT teams to implement and maintain robust data governance practices, aiming to optimi z e data accuracy and accessibility while safeguarding sensitive information, reinforcing our commitment to harmonized data governance across the enterprise. Your Responsibilities Include: Data Definition & Standards: Define and maintain a catalogue of business metadata across multiple systems, ensuring that metadata definitions are clear and consistently applied. Data Ownership & Stewardship: Identify and as

Sr Associate Data Management India - Hyderabad posted: Posted 30+ Days Ago

Sr Associate Data analytics India - Hyderabad posted: Posted 30+ Days Ago

Master Data Management Data Architect India - Hyderabad posted: Posted 30+ Days Ago

Senior Staff Data Analyst Gurugram, India posted: Posted 18 Days Ago