1 to 25 of 183 Remote/Hybrid Permanent Data Lake Jobs

throughout its lifecycle. Modern Data Platforms Design and assure solutions across modern data-platform environments. Contribute to data lake architecture and solutions operating within data lake ecosystems. Assess different approaches to data storage, integration, processing and analytics. Maintain … Capacity planning across complex data environments. Establishing and embedding data governance processes and frameworks. Designing and implementing data lake architectures. Working with solutions built within modern data lake ecosystems. Enterprise-level Data Architecture and strategic data ...

throughout its lifecycle. Modern Data Platforms Design and assure solutions across modern data-platform environments. Contribute to data lake architecture and solutions operating within data lake ecosystems. Assess different approaches to data storage, integration, processing and analytics. Maintain … Capacity planning across complex data environments. Establishing and embedding data governance processes and frameworks. Designing and implementing data lake architectures. Working with solutions built within modern data lake ecosystems. Enterprise-level Data Architecture and strategic data ...

throughout its lifecycle. Modern Data Platforms Design and assure solutions across modern data-platform environments. Contribute to data lake architecture and solutions operating within data lake ecosystems. Assess different approaches to data storage, integration, processing and analytics. Maintain … Capacity planning across complex data environments. Establishing and embedding data governance processes and frameworks. Designing and implementing data lake architectures. Working with solutions built within modern data lake ecosystems. Enterprise-level Data Architecture and strategic data ...

throughout its lifecycle. Modern Data Platforms Design and assure solutions across modern data-platform environments. Contribute to data lake architecture and solutions operating within data lake ecosystems. Assess different approaches to data storage, integration, processing and analytics. Maintain … Capacity planning across complex data environments. Establishing and embedding data governance processes and frameworks. Designing and implementing data lake architectures. Working with solutions built within modern data lake ecosystems. Enterprise-level Data Architecture and strategic data ...

throughout its lifecycle. Modern Data Platforms Design and assure solutions across modern data-platform environments. Contribute to data lake architecture and solutions operating within data lake ecosystems. Assess different approaches to data storage, integration, processing and analytics. Maintain … Capacity planning across complex data environments. Establishing and embedding data governance processes and frameworks. Designing and implementing data lake architectures. Working with solutions built within modern data lake ecosystems. Enterprise-level Data Architecture and strategic data ...

throughout its lifecycle. Modern Data Platforms Design and assure solutions across modern data-platform environments. Contribute to data lake architecture and solutions operating within data lake ecosystems. Assess different approaches to data storage, integration, processing and analytics. Maintain … Capacity planning across complex data environments. Establishing and embedding data governance processes and frameworks. Designing and implementing data lake architectures. Working with solutions built within modern data lake ecosystems. Enterprise-level Data Architecture and strategic data ...

build tool) – modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS – S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS … contracts, schema versioning Redis Cache invalidation, persistence strategy, data consistency MongoDB TimescaleDB NATS JetStream AWS S3/Glue Data lake staging, archival, batch ingestion into Snowflake Partitioning, file format (Parquet/ORC), Lake Formation governance Finance Domain Knowledge Candidates should have hands ...

Data Architect Up to £80k West Midlands - Hybrid - twice per week in the office Benefits: Bonus Scheme Hybrid Working Life Assurance Cycle to Work Scheme 25 days holiday, increasing with length of service Employee Assistance Program I am working with a client in the West Midlands … looking for an Enterprise level Data Architect with Databricks experience to join the team. Databricks is an absolute necessity for this role. The architecture has been outsourced up to this point, and is being brought back in house, so you should be experienced enough to take over responsibility ...

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute … operations for the worlds leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered ...

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute … operations for the worlds leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered ...

integrations and working with APIs. Excellent experience of data warehousing, ETL/ELT, Data Pipelines, Data Lake, SQL, Performance optimisation etc. Ability to integrate complex finance ERP or other transactional source systems Databricks experience. Excellent ability in documentation and knowledge transfer … knowledge is brought in house. Azure Data Platform technologies, Azure Data Lake, Azure Analysis Services. Desirable Skills: Snowflake, ThoughtSpot. Knowledge of Kimball and Inmon data warehousing methodologies. Exposure to AI-assisted development tools and modern AI technologies. The Role: This is a highly ...

driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services.* Develop and maintain secure data warehouses and data lakehouses: Implement data models, data … Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data* Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following ...

clearance required £860 per day inside IR35 Role purpose The Data Architect will specify the target design for the data lake, data ingestion, integration, transformation, governance and security architecture. The role acts as the design authority, ensuring the solution is secure, scalable, auditable … operating environments with multiple security classifications. Key responsibilities Define the target data architecture and design principles for the AWS data lake and associated ingestion patterns. Design secure data integration patterns across multiple security classifications and operating environments. Specify API-based, file-based, legacy ...

SUMMARY: NORC at the University of Chicago is seeking a qualified Senior Data Scientist II to join the Statistics and Data Science Department to provide day-to-day program management, technical, and data governance expertise to a large-scale federal data access … preferred. Proficiency with SAS, SQL, R, and/or Python, and experience working in modern cloud, data warehouse or data lake environments. Working knowledge of the methodologies and technologies for integrating data, including probabilistic record linkage and privacy preserving record linkage. Demonstrated experience ...

Salesforce Data 360 solutions in line with approved architecture, delivery standards and user stories. You’ll create and maintain Data Lake Objects, Data Model Objects, data streams, mappings, transformation logic and customer data models. • You’ll support the implementation … least 3+ years in understanding of customer data concepts including data ingestion, data streams, Data Lake Objects, Data Model Objects, identity resolution, unified profiles, segmentation and activation. • You’ll have at least 3+ years of experience building Salesforce solutions ...

Salesforce Data 360 solutions in line with approved architecture, delivery standards and user stories. You’ll create and maintain Data Lake Objects, Data Model Objects, data streams, mappings, transformation logic and customer data models. • You’ll support the implementation … least 3+ years in understanding of customer data concepts including data ingestion, data streams, Data Lake Objects, Data Model Objects, identity resolution, unified profiles, segmentation and activation. • You’ll have at least 3+ years of experience building Salesforce solutions ...

Salesforce Data 360 solutions in line with approved architecture, delivery standards and user stories. You’ll create and maintain Data Lake Objects, Data Model Objects, data streams, mappings, transformation logic and customer data models. • You’ll support the implementation … least 3+ years in understanding of customer data concepts including data ingestion, data streams, Data Lake Objects, Data Model Objects, identity resolution, unified profiles, segmentation and activation. • You’ll have at least 3+ years of experience building Salesforce solutions ...

Salesforce Data 360 solutions in line with approved architecture, delivery standards and user stories. You’ll create and maintain Data Lake Objects, Data Model Objects, data streams, mappings, transformation logic and customer data models. • You’ll support the implementation … least 3+ years in understanding of customer data concepts including data ingestion, data streams, Data Lake Objects, Data Model Objects, identity resolution, unified profiles, segmentation and activation. • You’ll have at least 3+ years of experience building Salesforce solutions ...

inclusion – it's a place where you can grow, belong and thrive. We are looking for a Forward Deployment Engineer specializing in AI Data Platforms and Data Spaces to help customers accelerate their AI transformation. You will work directly with clients to understand business challenges, assess … their digital and data ecosystems, and design innovative AI-ready data platforms and sovereign data spaces that enable scalable AI solutions. Key ResponsibilitiesEngage with customers to identify business challenges, data opportunities, and AI use cases. Assess enterprise data ecosystems, applications ...

warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ML-enabled solutions: Enable feature-ready … governed delivery.* Stay ahead of the curve: Continuously learn and adapt to the evolving AWS data and analytics landscape, including AWS Glue, Lake Formation, Redshift, Athena, EMR, and related best practices.* Define the platform operating model: Establish AWS multi-account strategies, environment separation (dev/test/ ...

Salesforce Data 360 solutions in line with approved architecture, delivery standards and user stories.You’ll create and maintain Data Lake Objects, Data Model Objects, data streams, mappings, transformation logic and customer data models.• You’ll support the implementation … least 3+ years in understanding of customer data concepts including data ingestion, data streams, Data Lake Objects, Data Model Objects, identity resolution, unified profiles, segmentation and activation.• You’ll have at least 3+ years of experience building Salesforce solutions ...

business objectives, enterprise architecture standards and regulatory requirements Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/… solutions within a regulated environment Deep expertise in the Microsoft Azure Data Platform, including services such as Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale ...

business objectives, enterprise architecture standards and regulatory requirements Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/… solutions within a regulated environment Deep expertise in the Microsoft Azure Data Platform, including services such as Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale ...

Data Engineer - Warrington Data Engineer with excellent experience in data engineering, data development, data integrations, SQL, Python, data warehousing, & Azure data platforms is required by a leading company near Warrington. Any experience with Snowflake, Kimball, Databricks … schema design. * Experience building and maintaining ETL/ELT processes. Desirable Skills: * Databricks experience. * Azure Data Platform technologies, Azure Data Lake, Azure Analysis Services. * Snowflake, ThoughtSpot. * Knowledge of Kimball and Inmon data warehousing methodologies. * Exposure to AI-assisted development tools and modern ...

team also enables wider Data Science, AI and Machine Learning initiatives through our Data Warehouse and Data Lake platforms. Working in an agile scrum team to design and build data feeds and related applications Writing, testing and peer review … Oracle ODI and Snowflake Working with business users to design and configure self-serve data environments within our snowflake data lake Analysing, developing, delivering, and managing BI reports Assisting in the design of the data processes, including data quality, reconciliation, testing ...