126 to 150 of 305 Big Data Jobs

it, the best way to do this in a battery. As a Lead Engineer you will drive the re-platforming efforts of their core data & AI platform powering their SaaS product. Beyond that, you'll spearhead backend & data engineering, mentor team members, and optimise software engineer practices for … long- term success. What else? They operate on the big-data side of AI, tackling the unsolved problem of distributed AI. They have some ML as a Service, tackling the ML Ops loop as a service, interesting challenge. They are going to enable edge AI, another pioneering aspect. more »

standards, accessibility, and development best practice Bonus Skills • Building microservices in C# • Experience building solutions that integrate with LLMs • Knowledge of Machine Learning and Big Data • Using the GOV.UK Design System Who you'll be working for Global digital transformation consulting firm Winner at the Glassdoor Employee's more »

client is dedicated to revolutionizing the world of connected mobility, aiming to make transportation more personal, convenient, enjoyable, and safe through the power of big data and a customer-focused approach. Their mission is to create and enable technologies that delight users and enhance their experience with their more »

infrastructure and applications. Responsibilities: Utilize recent AWS experience to design, implement, and manage AWS services such as EC2, ASG, RDS, and OpenSearch for streaming big data. Implement Infrastructure as Code (IAC) principles using tools like AWS CloudFormation or Terraform to automate infrastructure provisioning and management. Develop and maintain deployment more »

are working with leading enterprises and up-and-coming firms in some of the most crucial and fastest-growing industries in the world, including Big Data, Adtech, Fintech, Gaming, iGaming, and Streaming. We were founded in 2014 by a group of hosting industry veterans. Servers.com is headquartered in more »

Cloud Solution Architect London Permanent Are you passionate about leveraging cloud and data technologies to drive business success? Do you thrive in a dynamic, international environment where your technical expertise can make a real impact? If so, we have an exciting opportunity for you! We are currently seeking a … cloud platforms and infrastructure-as-code technologies. Experience with containerization, serverless computing, and SOA architecture. Familiarity with relational and non-relational databases. Experience with BigData technologies is a plus. Excellent written and verbal communication skills. Ability to work well under pressure and adapt quickly to change. Strong team player with more »

software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Develop and maintain software and environments used to implement and … with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG more »

model software in production, and environments and infrastructure used in model implementation and testing. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. Responsibilities: Develop and maintain software and environments used to implement … with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG more »

risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement … with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG more »

General information Job Posting Title Data Modeler Date Monday, April 15, 2024 City Arlington State VA Country United States Working time Full-time Description & Requirements This candidate will provide subject matter expertise to the Chief Data Officer (CDO) Directorate and support to senior level leadership within the Office … and defend policy decisions, synchronize investments, and drive actionable outcomes. The candidate will help create, define, and evolve the "as-is" and "to-be" data architecture for the DoD SAP IT data services. Provide modeling and framework(s) to determine how to grow and improve new data assets and evaluate existing data assets. Also, provide data architecture services and perform data architecture reviews, ensuring compliance of design and meta-data standards. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS070, T4, Band 7 Required Skills: Must have an active TS more »

of a highly visible Health Information Technology (IT) services effort. As the largest biomedical research agency in the world, NIH has access to extensive data via numerous web applications, data services and other mechanisms, and requires advanced business intelligence dashboards to support smart decision making. Candidate must be … to demonstrate the skills, ability and experience required to do the following: Lead and manage the team responsible for the daily operations of Enterprise Data warehouse. Ensure the reliability and performance of databases and data warehouse. Design and implement Data Warehouse and ETL systems. Design and implement … scalable data pipelines for both internal and external data sets. Collaborate with internal departments to prioritize projects and deliverables. Manage a team of Data Engineers responsible for ETL processes. Work with customer requirements, mining data, working with software development teams, creating data-driven dashboards, and more »

of a highly visible Health Information Technology (IT) services effort. As the largest biomedical research agency in the world, NIH has access to extensive data via numerous web applications, data services and other mechanisms, and requires advanced business intelligence dashboards to support smart decision making. Candidate must be … to demonstrate the skills, ability and experience required to do the following: Lead and manage the team responsible for the daily operations of Enterprise Data warehouse. Ensure the reliability and performance of databases and data warehouse. Design and implement Data Warehouse and ETL systems. Design and implement … scalable data pipelines for both internal and external data sets. Collaborate with internal departments to prioritize projects and deliverables. Manage a team of Data Engineers responsible for ETL processes. Work with customer requirements, mining data, working with software development teams, creating data-driven dashboards, and more »

of a highly visible Health Information Technology (IT) services effort. As the largest biomedical research agency in the world, NIH has access to extensive data via numerous web applications, data services and other mechanisms, and requires advanced business intelligence dashboards to support smart decision making. Candidate must be … to demonstrate the skills, ability and experience required to do the following: Lead and manage the team responsible for the daily operations of Enterprise Data warehouse. Ensure the reliability and performance of databases and data warehouse. Design and implement Data Warehouse and ETL systems. Design and implement … scalable data pipelines for both internal and external data sets. Collaborate with internal departments to prioritize projects and deliverables. Manage a team of Data Engineers responsible for ETL processes. Work with customer requirements, mining data, working with software development teams, creating data-driven dashboards, and more »

of a highly visible Health Information Technology (IT) services effort. As the largest biomedical research agency in the world, NIH has access to extensive data via numerous web applications, data services and other mechanisms, and requires advanced business intelligence dashboards to support smart decision making. Candidate must be … to demonstrate the skills, ability and experience required to do the following: Lead and manage the team responsible for the daily operations of Enterprise Data warehouse. Ensure the reliability and performance of databases and data warehouse. Design and implement Data Warehouse and ETL systems. Design and implement … scalable data pipelines for both internal and external data sets. Collaborate with internal departments to prioritize projects and deliverables. Manage a team of Data Engineers responsible for ETL processes. Work with customer requirements, mining data, working with software development teams, creating data-driven dashboards, and more »

of a highly visible Health Information Technology (IT) services effort. As the largest biomedical research agency in the world, NIH has access to extensive data via numerous web applications, data services and other mechanisms, and requires advanced business intelligence dashboards to support smart decision making. Candidate must be … to demonstrate the skills, ability and experience required to do the following: Lead and manage the team responsible for the daily operations of Enterprise Data warehouse. Ensure the reliability and performance of databases and data warehouse. Design and implement Data Warehouse and ETL systems. Design and implement … scalable data pipelines for both internal and external data sets. Collaborate with internal departments to prioritize projects and deliverables. Manage a team of Data Engineers responsible for ETL processes. Work with customer requirements, mining data, working with software development teams, creating data-driven dashboards, and more »

of a highly visible Health Information Technology (IT) services effort. As the largest biomedical research agency in the world, NIH has access to extensive data via numerous web applications, data services and other mechanisms, and requires advanced business intelligence dashboards to support smart decision making. Candidate must be … to demonstrate the skills, ability and experience required to do the following: Lead and manage the team responsible for the daily operations of Enterprise Data warehouse. Ensure the reliability and performance of databases and data warehouse. Design and implement Data Warehouse and ETL systems. Design and implement … scalable data pipelines for both internal and external data sets. Collaborate with internal departments to prioritize projects and deliverables. Manage a team of Data Engineers responsible for ETL processes. Work with customer requirements, mining data, working with software development teams, creating data-driven dashboards, and more »

of a highly visible Health Information Technology (IT) services effort. As the largest biomedical research agency in the world, NIH has access to extensive data via numerous web applications, data services and other mechanisms, and requires advanced business intelligence dashboards to support smart decision making. Candidate must be … to demonstrate the skills, ability and experience required to do the following: Lead and manage the team responsible for the daily operations of Enterprise Data warehouse. Ensure the reliability and performance of databases and data warehouse. Design and implement Data Warehouse and ETL systems. Design and implement … scalable data pipelines for both internal and external data sets. Collaborate with internal departments to prioritize projects and deliverables. Manage a team of Data Engineers responsible for ETL processes. Work with customer requirements, mining data, working with software development teams, creating data-driven dashboards, and more »

of a highly visible Health Information Technology (IT) services effort. As the largest biomedical research agency in the world, NIH has access to extensive data via numerous web applications, data services and other mechanisms, and requires advanced business intelligence dashboards to support smart decision making. Candidate must be … to demonstrate the skills, ability and experience required to do the following: Lead and manage the team responsible for the daily operations of Enterprise Data warehouse. Ensure the reliability and performance of databases and data warehouse. Design and implement Data Warehouse and ETL systems. Design and implement … scalable data pipelines for both internal and external data sets. Collaborate with internal departments to prioritize projects and deliverables. Manage a team of Data Engineers responsible for ETL processes. Work with customer requirements, mining data, working with software development teams, creating data-driven dashboards, and more »

of a highly visible Health Information Technology (IT) services effort. As the largest biomedical research agency in the world, NIH has access to extensive data via numerous web applications, data services and other mechanisms, and requires advanced business intelligence dashboards to support smart decision making. Candidate must be … to demonstrate the skills, ability and experience required to do the following: Lead and manage the team responsible for the daily operations of Enterprise Data warehouse. Ensure the reliability and performance of databases and data warehouse. Design and implement Data Warehouse and ETL systems. Design and implement … scalable data pipelines for both internal and external data sets. Collaborate with internal departments to prioritize projects and deliverables. Manage a team of Data Engineers responsible for ETL processes. Work with customer requirements, mining data, working with software development teams, creating data-driven dashboards, and more »

of a highly visible Health Information Technology (IT) services effort. As the largest biomedical research agency in the world, NIH has access to extensive data via numerous web applications, data services and other mechanisms, and requires advanced business intelligence dashboards to support smart decision making. Candidate must be … to demonstrate the skills, ability and experience required to do the following: Lead and manage the team responsible for the daily operations of Enterprise Data warehouse. Ensure the reliability and performance of databases and data warehouse. Design and implement Data Warehouse and ETL systems. Design and implement … scalable data pipelines for both internal and external data sets. Collaborate with internal departments to prioritize projects and deliverables. Manage a team of Data Engineers responsible for ETL processes. Work with customer requirements, mining data, working with software development teams, creating data-driven dashboards, and more »

Data and Analytics Developer Overview We are seeking a highly skilled Data and Analytics Developer with extensive experience in ETL/ELT, data warehousing/business intelligence methodologies, and best practices. The ideal candidate will have a strong background in handling big data, cloud technology … and unstructured data, along with a deep understanding of relevant tools and technologies. Key Responsibilities Demonstrate detailed working knowledge of ETL/ELT processes, data warehousing/business intelligence methodologies, and best practices. Handle big data, cloud technology, and unstructured data, employing appropriate methodologies. Understand … and apply Kimball, Inmon, and hybrid data warehouse design principles. Utilize cloud data products such as Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. Databricks and PySpark Development Develop in Databricks with experience coding in PySpark and Spark SQL. Ensure ETL code is more »

Senior Azure Data Engineer/Developer - 12 months - INSIDE IR35. Senior Azure Data Engineer/Developer required for a 12 months contract. You will be office based in South East London 2x days per week. The rest remote. Experienced in Data and Analytics solution design and implementation … using Agile, working to deliver complex data and BI products. Detailed knowledge of ETL, data warehousing, data modelling and experience dealing with big data is expected. Skills. Experince of ETL/ELT, data warehousing/business intelligence methodologies and best practice including dealing with … big data, cloud technology and unstructured data and the relative required approaches Knowledge of star schema structure & design, detailed understanding of Kimball & Inmon and hybrid data warehouse design. Cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Knowledge more »

We are looking for a Senior Data & Analytics Developer to work within the transport sector. Location: Hybrid working - London About the role : You will be responsible for working with others as necessary within the project including the Development Stream Lead, Solution/Data Architects, Product Owners and other … establish an optimal solution which meets requirements, adheres to technical standards and strategy constraints. Essential Skills: The ideal candidates will have a proven Senior Data & Analytics Development background, with the following skills/experience: Knowledge of ETL/ELT, data warehousing/business intelligence methodologies and best practice … including dealing with big data, cloud technology and unstructured data and the relative required approaches. Knowledge of star schema structure & design, detailed understanding of Kimball & Inmon and hybrid data warehouse design. Knowledge using cloud data products like Data Factory, Event Hubs, Data Lake more »

Competencies Java Programming with particular emphasis on concurrent and distributed systems Experience of functional programming, eg in Scala Design and Development of High Performance Data Analytics Systems Knowledge of atomic concepts Compiler technologies such as building interpreters, compilers and DSLs Relational Databases and Massively Parallel Database systems Big Data Technologies such as Apache Spark, Apache Arrow Software Development in a Commercial Environment Qualification & Skills: Development Tools and Methodologies Experience of TDD and BDD in a commercial environment Exposure to continuous build and deployment solutions such as Jenkins Able to work within an agile environment delivering software more »

For this role, you will be responsible for providing the framework that appropriately replicates the Big Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer … definition, effort and cost estimation, Past experience in dealing with partners, tools vendors, etc. Business Domain Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP … Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable requirements: Experience in Data analysis and visualization more »