801 to 825 of 1,478 Big Data Jobs

is seeking a talented software development engineer to design and build customer facing cross-domain cloud services. The AWS Cross Domain Services team provides solutions for customers to move data between AWS regions and accounts with differing security requirements. Join us in building and developing novel solutions to solve big data problems and provide analytic visibility into … the AWS Cross Domain Solutions (CDS) workflow. About our Software Development Engineers: Our engineers use AWS technologies to build cloud-native data solutions that process data from across all AWS, allowing teams to efficiently and securely operate their services across multiple regions. As part of our team, you'll be challenged to think outside the box and not … only meet the needs of our customers today, but also analyze data to predict and create what they'll need in the future. You'll have the opportunity to tackle big technical problems and push the boundaries on what's possible for cloud computing. In this role, you will: - Work closely with lead software engineers to deliver features More ❯

About Place Informatics Since 2015, Place Informatics has been at the vanguard of foot traffic data, answering business-critical questions about people's interactions with various spaces such as town centres, retail outlets, tourist attractions, heritage sites, green spaces, events and even car parks. By harnessing the power of cutting-edge technologies including artificial intelligence and machine learning, our … big data' solutions are revolutionising the industry. Entrusted with this vital task is a close-knit team of IT developers, statisticians, and visitor insight specialists, who are committed to delivering impeccable services that can be tailored to the unique requirements of our clients. About the Senior Insight Analyst role As a Senior Insight Analyst at Place Informatics Ltd … will play a key role in developing relevant, meaningful and understandable complex client reports, influence the development of our products, researching, and contributing to high-quality location and behaviour data products. You will: Translate complex data analysis into clear business value propositions. Visualize data to communicate insights effectively Engage with clients to understand their business needs and More ❯

to attract and engage customers, creating features and initiatives that generate buzz. We also focus on effective communication strategies with our customers, determining what products to promote and when. Data plays a crucial role in all our activities, and this role will lead the team ensuring our Growth and Marketing teams can leverage data to make informed decisions. … Our Analytics Engineering discipline operates at the intersection of data, engineering, and our core collectives-Money, Borrowing, Operations, Financial Crime, and beyond. The AE teams build downstream data models from backend services, aiming to make our Data Warehouse a competitive advantage. We seek a discipline capable of creating a reliable, scalable, and cost-effective Data Warehouse … that supports decision-making with high performance. Managers within Data have two main responsibilities: people management and technical product development. Your focus will be on supporting engineers' growth, guiding them through challenges, and celebrating successes. You will also lead and participate in technical initiatives, shaping the Data organization to focus on valuable work, ensuring quality and attention to More ❯

meet highly complex customer needs. Lead the design and implementation of scalable cloud infrastructure for large-scale AI/ML management applications. Design and implement a scalable, cloud-hosted data platform supporting complex organizations with strict access control and governance. Ensure interoperability with multiple cloud providers, open-source software, GOTS, COTS technologies, and AI/ML models, supporting a … Zero Trust Architecture (ZTA). Monitor and optimize costs versus performance tradeoffs, enabling secure data product creation, sharing, and reuse within established data policies. Collaborate with development and data science teams to ensure infrastructure supports the solution lifecycle, including continuous integration and deployment. Facilitate the transition to hybid on-premise/cloud architecture. Minimum Qualifications: Bachelor's … system design. Preferred Qualifications: Master's degree in a related field. Proficient at managing managers and large team. Experience developing and deploying large AI/ML systems. Experience with data fabrics and big data platforms. Clearance Requirements: Must possess a current and active TS/SCI with poly Physical Requirements: The person in this position must be More ❯

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers' greatest challenges. We recognize that the most effective environment for your projects doesn … of the following AWS Certifications are highly desired: AWS Certified Solutions Architect - Professional AWS Certified DevOps Engineer - Professional AWS Certified Security - Specialty AWS Certified Advanced Networking - Specialty AWS Certified Big Data - Specialty AWS Certified Solutions Architect - Associate AWS Certified Developer - Associate AWS Certified SysOps Administrator - Associate Designing, building, and managing infrastructure configured according to the DoD Secure Cloud More ❯

critical problems. Build and operate platforms and applications that prevent, detect, and mitigate regulatory and reputational risks. Access the latest technology and process massive amounts of structured and unstructured data, including 1 billion trade records and 5 billion market data records daily. Leverage modern frameworks to build responsive front-end and Big Data applications. The firm … YOU WILL FULFILL YOUR POTENTIAL Partner globally with sponsors, users, and engineering colleagues to create end-to-end solutions. Learn from experts, mentor, and coach junior team members. Utilize data-streaming technologies including Kafka CDC, Kafka, EMS, and Apache Flink. Innovate and incubate new ideas. Work on a broad range of problems involving large data sets, real-time More ❯

is maximised . We’re growing - and fast. That’s why we have multiple Senior Analyst openings across our Planning & Analytics team . We’re looking for problem-solvers, data storytellers, and strategic thinkers to help us drive efficiency, identify cost-saving opportunities, and enhance decision-making across our logistics and supply chain functions. During the initial call , we … Senior Analyst , you’ll play a key role in: Driving efficiency and optimisation across supply chain and logistics through advanced analytics. Identifying trends, patterns, and opportunities for improvement using data-driven insights. Developing and implementing strategies for inventory management, procurement, and distribution. Creating dashboards and reports to present key insights to stakeholders across the business. Collaborating with cross-functional … teams to translate data into actionable strategies. Staying ahead of industry trends and best practices to keep Ocado at the forefront of innovation. What we're looking for To succeed in this role, you’ll need: Strong experience as an Analyst , ideally within a Big Data environment. Expertise in SQL (analytical SQL required) and familiarity with Excel More ❯

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers' greatest challenges. We recognize that the most effective environment for your projects doesn … AWS, Azure). Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Scripting experience is a huge plus. Prior experience or familiarity with our Big Data Platform is a plus. Understanding of AGILE software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Github Enterprise, etc.) NF We have More ❯

MVP, pilot, and full deployment. Partner with the Best: Collaborate with top-tier third-party vendors, platforms, and internal tech teams. Enable Cross-Functional Success: Work closely with IT, Big Data, Security, Digital, and Business Units. Innovate with AI: Leverage LLMs, RAG, MLOps, and cloud-native tools to build scalable, secure solutions. Ensure Governance: Align with enterprise standards … Skills and Experience: Proven experience architecting AI/ML or GenAI solutions in complex, enterprise environments. Hands-on expertise with LLMs, NLP, MLOps, RAG pipelines, APIs, and real-time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. More ❯

MVP, pilot, and full deployment. Partner with the Best: Collaborate with top-tier third-party vendors, platforms, and internal tech teams. Enable Cross-Functional Success: Work closely with IT, Big Data, Security, Digital, and Business Units. Innovate with AI: Leverage LLMs, RAG, MLOps, and cloud-native tools to build scalable, secure solutions. Ensure Governance: Align with enterprise standards … Skills and Experience: Proven experience architecting AI/ML or GenAI solutions in complex, enterprise environments. Hands-on expertise with LLMs, NLP, MLOps, RAG pipelines, APIs, and real-time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. More ❯

engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists … customer needs to deliver robust solutions in an ever-changing business environment. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. HOW YOU WILL FULFILL YOUR POTENTIAL … successfully collaborating directly with stakeholders to understand the product space, identify solutions, and finally deliver software products. Knowledge of asset management, particularly Equities, Fixed Income and ETFs is a big plus. Comfort with multi-tasking, a fast-paced environment, and managing multiple stakeholders. Experience working as part of a global team. Excellent written and spoken communication. ABOUT GOLDMAN SACHS More ❯

like Lambda functions and associated services) Deploy small units of code in a managed way using Microservices and Kubernetes container orchestration Leading teammates on innovation approaches to solving hard data set engineering issues and cloud configurations. This includes working with the ISSM and various networking professionals to ensure data routing and access meets needs Use of Python and … development experience Familiarity with Linux OS Experience with general web architecture (AWS, etc.) Understanding of how to build and run containerized applications Familiarity with, or a working understanding of big data search tools (Trino, OpenSearch, Elastic, etc.) Ability to multitask, sometimes at a rapid pace, with good attention to details High degree of accountability and personal integrity Ability … Ability to work well both independently and as part of a team Desired Qualifications: API Development PKI infrastructure Customer DNS routing systems Enterprise services surrounding User Authentication and Authorization Data Handling protocols Physical Requirements Ability to work full-time (40 hours/week) at the customer site while sitting at a desk and working on a computer Ability to More ❯

What makes us Qlik ? A Gartner Magic Quadrant Leader for 15 years in a row , Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions … that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. The Strategic Account Manager Role Join Qlik as a Global Client Executive , taking charge of enterprise accounts with a strategic focus. In this role, you will independently identify, acquire new customers as well as upselling … alignment with Qlik's value proposition. Collaborative Sales: Work closely with partners and resellers, enabling them to maximize revenue within assigned accounts. Market Insight: Leverage your knowledge in the Data and Business Intelligence ecosystem to navigate the dynamic landscape your customers sit across. Here's how you'll be making an impact: Account Development: Develop and execute account plans More ❯

system products in support of operations, experimentation, and the acquisition analysis process. ORCA analysts apply Model-Based System Engineering (MBSE) principles and tools to identify and analyze trends in big data to solve real-world problems. ORCA software engineers and cyber security professionals develop, build, and deploy custom hardware and software solutions to meet our client's toughest … models of complex real-world systems using commercial and proprietary software tools; Design, build, and execute constructive simulations and apply design of experiments best practices; Analyze and synthesize large data sets with various analytic frameworks and statistical methods; Support the preparation of deliverables (presentations, written reports, etc.) to communicate analysis-based findings and recommendations to sponsors and stakeholders, balance … as well as market and business considerations. California Pay Transparency Range: $85,000-$125,000. Qualifications Required Qualifications: Bachelor's degree in Math, Statistics, Engineering, Physical Science, Operations Research, Data Science, or related field A minimum of two (2) years of professional experience in Operations Research, Modeling & Simulation, and/or Model-Based Systems Engineering Experience in data More ❯

for businesses, communities, and individuals. Our goal is for all people to be able to make the most of our energy and resources through the integration of processes, software, Big Data, and energy technologies that enable integrated management of buildings, industries, and cities. We are present in over 110 countries with a diverse and disruptive team of over … and improving operational efficiency. Main responsibilities: Lead industrial digitalization projects, including the deployment of Smart Factory solutions, IT/OT integration, and process and MES system automation. Analyze operational data to identify trends and propose improvements based on Lean methodologies. Coordinate with multidisciplinary teams (IT, operations, production, maintenance). Participate in ERP integration and migration projects (especially SAP). … solutions. Technical knowledge: Understanding of IT/OT architectures. Experience in SAP projects (roll-outs, migrations) or other ERPs. Programming knowledge (Python, Java, etc.) is a plus. Experience in Big Data environments, advanced analytics, or artificial intelligence is a plus. Familiarity with MES, SCADA, and industrial IoT platforms. Project management and collaboration tools: Microsoft Project, Office 365, Power More ❯

Greystones Group Greystones is seeking a Senior Economist Analyst to support the Internal Revenue Service (IRS) in developing data analytic, cybersecurity and IT capabilities. In this role, you will be responsible for responsible for overseeing all aspects of the development, management, and implementation of assigned economic IT projects. The role requires strong leadership skills to ensure the project's … the project lifecycle. Greystones Group is a fast-growing woman-owned small business supporting our Nation's Defense and Critical Infrastructure Agencies with best-in-class artificial intelligence and big data analytics capabilities. Our capabilities include mission planning, operational support, leader development and education, cybersecurity, electronic warfare, and information technology solutions. We are looking for dedicated and motivated … and development in a setting that provides world-class support to our customers. Greystones is seeking a Senior Economist Analyst to support the Internal Revenue Service (IRS) in developing data analytic, cybersecurity and IT capabilities. In this role, you will be responsible for responsible for overseeing all aspects of the development, management, and implementation of assigned economic IT projects. More ❯

last 5 years, a minimum of 3 years experience with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as hbase, apache accumulo, and/or big table Within the last 3 years, a minimum of 1 year experience with requirements analysis and design for 1 or more object-oriented systems Demonstrated experience developing restful services … cluster monitoring tools e.g. nagios, ganglia Demonstrated experience with apache accumulo internals, to include configuring, tuning, and testing the same in many configurations (>200 node clusters) Demonstrated experience with big-data cloud scalability e.g. Amazon, Google, and/or Facebook Demonstrated experience with docker Identify and run software tools to manage and monitor large compute clusters in an More ❯

don't do things because "that's the way we've always done things"; we listen to our employees and adapt to the changing marketplace. We look at the big picture and encourage our engineers to get training and certifications in emerging technologies that will help shape our customer's mission. We've been profitable year after year. We … vendor offered (paid) training opportunities like conferences, certification courses and seminars. Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master the list of certifications goes on and on! Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and More ❯

to: a shared strategy and execution plan with in-market business leaders, creation and tracking of project plans to ensure accountability, establishment of clear KPIs to measure program success, data analysis, recognizing and advocating for removal of systemic blockers to change, and helping our stakeholders look around corners by consulting on product requirements. BASIC QUALIFICATIONS Experience in digital advertising … degree or commensurate experience Excellent oral and written communication skills with ability to establish credibility and influence with technical and non-technical business owners Quantitative analytical abilities, experience with "big data" and ability to handle changing priorities and use good judgment when working in stressful situations including: (1) Experience in technical writing and documentation, (2) Advanced SQL … of programmatic advertising technologies (DSP, RTB, bid shading, machine learning optimization, ad verification, ad tracking, ad attribution, etc.) Applied knowledge of measurement, statistics and program evaluation; and knowledge of data visualization tools (e.g. QuickSight, Tableau) Curiosity to dig deeply into technical details (e.g. key dependencies) with customers and internal technical stakeholders to solve a technical problem Demonstrated success in More ❯

don't do things because "that's the way we've always done things"; we listen to our employees and adapt to the changing marketplace. We look at the big picture and encourage our engineers to get training and certifications in emerging technologies that will help shape our customer's mission. We've been profitable year after year. We … vendor offered (paid) training opportunities like conferences, certification courses and seminars. Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master the list of certifications goes on and on! Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and More ❯

a team of world-class engineers and scientists across the Edinburgh offices and wider organization. You will work on machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of … technical skills. If you are selected, you have the opportunity to make a difference to our business by designing and building state of the art machine learning systems on big data, leveraging Amazon's vast computing resources (AWS), working on exciting and challenging projects, and delivering meaningful results to customers world-wide. Key job responsibilities Develop machine learning More ❯

all decisions and responsible for the architecture, design, and development of our products with high quality. The Impact: Be part of an organization-level digital transformation that will lead data digitization, process optimization, and business agility for the end users. You will lead quality assurance efforts on initiatives that are directly aligned with organizational goals and vision. What's … in it for you: Opportunity to work, learn, and grow with the world-leading rating organization. Learn and implement with trending technology such as AI, big data, and cloud. Be part of organization-level digital transformation. Responsibilities: Design and develop automation/performance solutions that meet organizational standards and build reliable, reusable, and maintainable automated regression suites & test … for Web, Services/APIs, Database, UI (Multi-browser) testing requirements. What we are looking for: 3+ years of strong experience in QA/testing. Strong in API Testing, Data Testing, and SQL queries. Strong knowledge in database, API, and software testing concepts. Strong knowledge in coding skills in any programmatic language, preferably Python. Tosca knowledge would be an More ❯

with senior clients, engineers and architects on a daily basis? Are you a critical thinker that is keen to continue exploring the untouched capabilities of technologies such as Cloud, Big Data, AI and Robotics, and how they can be architected into client’s landscapes to help them achieve their strategic goals? Joining the team means becoming part of … and create 360 value for our clients. Your responsibilities as an enterprise architect will include: Assessing the impact of the business strategy on the enterprise architecture, including organisation, applications, data, infrastructure, and operations Staying abreast of industry dynamics and the impact of trends on an organisation, to identify and formulate need for change in enterprise architecture Co-creating a … roadmaps for complex and large technology environments using Lean and Agile enterprise principles Supporting the creation of Enterprise Architecture blueprints, demonstrating the e2e technology landscape including applications, integrations, and data Conducting end-to-end vendor assessments across technology, vendor and or data platforms Working between the business and technology client & 3rd party stakeholders to effectivity formulate communicate and More ❯

software. Bonus: If you are familiar with MDX, DAX, BI modeling (DataMart, Star Schema), or have experience with Microsoft Azure environments, that's a real asset. A little extra? Big Data, Machine Learning, and Data Mining! What we offer you: A dynamic and stimulating work environment where innovation is at the heart of our DNA. An agile More ❯

Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services … to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing. Responsibilities Cloud-Based Data Preparation: Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space. Optimization: Optimize this pipeline for throughput, latency, and … research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics. Real-World Experience: Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any More ❯