476 to 500 of 645 Big Data Jobs

Expect You Have 10+ years of experience building large-scale and low-latency distributed systems. Proficiency in Java or C++. Strong understanding of algorithms, data structures, performance optimization, object-oriented programming, multi-threading, and real-time programming. Experience with distributed caching, SQL/NoSQL, and other databases … plus. Experience with Big Data and cloud services such as AWS or GCP is a plus. Experience in the advertising domain is a plus. B.S. or M.S. degree in Computer Science, Engineering, or equivalent. Self-motivated with a high level of accountability and ownership. Critical thinking and practical ...

more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers. The individual joining the GMRU (Global Market Risk Unit) team in London will become part of the group responsible … understanding and replicating the Management Account. Backtesting: Perform daily challenges to the current internal model by comparing VaR against Credit activity results. Systems & Data: Identify and resolve incidents related to the configuration and integration of Front Office (FO) and Risk systems. This includes extracting static data ...

global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex … have a brand-new opportunity for a bright, driven, customer focussed professional to join our Hybrid Cloud 'Delivery' team, and work alongside our Enterprise Data Engineering consultants to accelerate and drive data engineering opportunities. The Advisory and Professional Services (A&PS) delivery team within HPE Professional Services Delivery ...

monitor performance Research emerging AI techniques and implement state-of-the-art algorithms Required Skills & Qualifications Master's degree or PhD in Computer Science, Data Science, Mathematics, or related field preferred 3+ years of hands-on machine learning and AI development experience Strong programming skills in Python … experience with SQL and big data tools Expertise in deep learning, statistical modeling, and MLOps practices Equal Employment Opportunity & Inclusivity Ellofant is proud to be an Equal Employment Opportunity Employer. We do not discriminate in employment on the basis of race, color, religion, sex, sexual orientation, gender identity ...

Curo Resourcing Ltd. has an exciting opening for a Data DevOps Engineer. This hybrid role sits between on-prem and cloud data platforms, requiring strong Linux administration and experience with Docker/OpenShift/Kubernetes, and IaC/CI/CD tools. You will design scalable big … data solutions and contribute to automated scaling and self-healing systems. You will collaborate across teams, provide technical leadership, and help clients achieve their goals. #J-18808-Ljbffr ...

while uncovering opportunities for mutual growth and expansion. What you will do Provide high-quality guidance and mentorship on enterprise-level architecture, configuration, and data governance in Splunk Enterprise and Splunk Cloud environments to ensure optimal system performance. Execute strategic adoption activities, including regular meetings and documentation, to demonstrate … knowledge of multi-tier Splunk architectures, clustering, and scalability topics. Strong proficiency in Splunk Processing Language (SPL). Demonstrated ability in technical consulting or big-data analytics. Thorough understanding of Splunk Deployment Methodology and Implementation. Excellent communication skills with the ability to translate complex technical concepts to diverse ...

join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private … design artifacts for applications while ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsIdentifies hidden problems and patterns in data and uses these insights to drive ...

join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private … artifacts for applications while ensuring design constraints are met by software code development Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Identify hidden problems and patterns in data and use these insights ...

join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private … artifacts for applications while ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Identifies hidden problems and patterns in data and uses these insights ...

join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private … artifacts for applications while ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Identifies hidden problems and patterns in data and uses these insights ...

# Sr Data Engineer at N Consulting LtdWork mode: Hybrid - 2 days a week WFO Contract duration … months Location: Northampton, UK --------------------------------------- JOB DETAILS Role Title: Sr Data Engineer • Minimum 6-8 years of experience working as Sr Data Engineer • Bigdata Technologies – PySpark, Spark • Coding Languages – Python, SQL • AWS services – Glue, Cloud formation, Lake Formation, IAM, Lambda, Redshift • Exposure to cloud technologies – Snowflake, Redshift, Apache Flink ...

Citi is hiring for a Support Engineer to join a global team maintaining a large-scale data platform built on Hadoop, Hive, Spark, Kafka, and related tools. The role supports 24/7 availability with a follow-the-sun model and cross-region collaboration to keep systems running smoothly. … focus on automation, data quality, and incident management while growing your skills. The team works across the UK, Singapore, India, and Canada, offering mentorship, continuous learning, and flexible hybrid #J-18808-Ljbffr ...

Databricks is seeking a Strategic Account Executive for London to grow a strategic CPG customer, leveraging Big Data, AI, and the Databricks Data Intelligence Platform. You will lead cross-functional teams and partners to deliver value and drive adoption across usage and bookings. You will engage with ...

FEQ427R369)As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Retail and Consumer Packaged Goods sectors. Your experience partnering with sales organisations … enhance your own productivity and that of your teamExperience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals. Experience in a customer-facing role across the Retail and CPG sectors in the UK and IrelandExperience in developing ...

/ML – expertise in SW products enabled via one or more of the following technologies: artificial intelligence/machine learning, medical image analysis, NLP, big data, etc. Other Competencies (Behavioural, Leadership) Strategic mindset - Seeing ahead to future possibilities and translating them into breakthrough strategies. Cultivates innovation - Creating … field (or equivalent and related experience). Experience 8-10 years of experience in software product management, either as a product manager, product owner, data scientist, software engineer, or in a role associated with software development 5-8 years of experience in building and clearing Software as Medical Devices ...

sales Engineering Manager (Retail & CPG) London, United Kingdom (FEQ427R369) As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Retail and Consumer Packaged … enhance your own productivity and that of your team Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals. Experience in a customer-facing role across the Retail and CPG sectors in the UK and Ireland Experience ...

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? Our Enterprise … heart of Accenture's Technology Strategy and Advisory Practice (TS&A). We work with senior clients to shape enterprise-wide transformation – defining technology, data, and operating models that enable growth, resilience and reinvention. As an Enterprise Architecture Manager you will operate at the intersection of business strategy, industry ...

SLSQ227R272Do you want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing … Databricks consumption. This is a team of account executives that are passionate about building a data ecosystem for UKI, technically knowledgeable and have a strong desire to drive value for our customers. You will oversee the Telco & Utilities senior sales team, implementing sales plans, expanding existing business and delivering ...

join our high profile client. Our client is a 30 man Fintech business who has created a market leading product in the financial data market. Details of the full ideas of the company are protected by a Non-Disclosure agreement but they are at the bleeding edge … only product ideas but also technology and data manipulation. The DevOps team deliver a robust multi-tenant cluster serving customers in production and devs in the office. They sit with the core app team, participating in the daily scrum and weekly releases. They are passionate about our automated continuous ...

Bigtable, Hive). Experience working in Agile environments (Scrum, Kanban, or stream-aligned team models). Nice to Have ✔️ Experience with predictive analytics/big data processing. Familiarity with Atlassian stack (Jira, Confluence) and collaboration tools (Miro, Google Docs, Slack). Knowledge of test automation strategies ad CICD ...

Senior/Principal Product Manager to take ownership of a new brand new Decision Optimisation product from 0-1. This is a complex, data-heavy product which uses applied AI (agentic systems, ML, knowledge graphs), focusing on trade-off modelling and capital allocation. The MVP is being launched … experience operating independently in highly-ambiguous environments, making confident product bets, and setting clear direction without requiring hand-holding Strong product mechanics in complex data products, applied AI/ML, big data platforms, decision intelligence, or regulated financial/risk platforms Applied AI fluency - practical experience with ...

FEQ427R369) As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Retail and Consumer Packaged Goods sectors. Your experience partnering with sales organisations … enhance your own productivity and that of your team Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals. Experience in a customer-facing role across the Retail and CPG sectors in the UK and Ireland Experience ...

trust and safety, crisis response, or risk analysis. Experience managing sensitive online content domains. Preferred qualifications: 10 years of experience in business intelligence or data analytics. Experience with explaining technical analysis to stakeholders. Experience with big data technologies (e.g., Hadoop, Spark, Python, or R). About ...

years of experience in risk intelligence, trust and safety, crisis response, or risk analysis. Preferred qualifications: 10 years of experience in business intelligence or data analytics. Experience with explaining technical analysis to stakeholders. Experience with big data technologies (e.g., Hadoop, Spark, Python, or R). About ...

best Practices, design patterns, and informed buy vs. build decisions. Platform Capability Enhancement: Contributes to the prioritization of platform capability improvements across feature and data platforms. Enhances the capture and communication of architecture descriptions through automation and innovative tools. Shepherds platform-wide strategies, including naming, protocol standards, and design … Experience with high volume distributed technical architectures with a high cost of failure, i.e. focus on reliability and availability Experience with some amount of 'Big Data' technologies such as: ElasticSearch, NoSQL Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph DataStores Experience with leveraging common infrastructure services like ...