5 of 5 Data Warehouse Jobs in Northampton

configuration and management of SSO and MFA solutions to streamline user authentication and improve security across cloud and on-premise applications. Proficient in data analysis, data lineage, data profiling, master data management, metadata management, ETL/ELT, data warehousing, data lake, data lakehouse, data governance, Big Data, AI/ML, reporting and data visualisation. Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse … Analytics, Azure Databricks Collaborated with Data Engineers to define data integration and orchestration requirements needed to design efficient pipelines Must have worked on digital identity projects, single sign-on’s (SSO), biometrics, retina scans. NOT cyber security Technical Skills: Ability to analyze large datasets, identify trends More ❯

configuration and management of SSO and MFA solutions to streamline user authentication and improve security across cloud and on-premise applications. Proficient in data analysis, data lineage, data profiling, master data management, metadata management, ETL/ELT, data warehousing, data lake, data lakehouse, data governance, Big Data, AI/ML, reporting and data visualisation. Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse … Analytics, Azure Databricks Collaborated with Data Engineers to define data integration and orchestration requirements needed to design efficient pipelines Must have worked on digital identity projects, single sign-on’s (SSO), biometrics, retina scans. NOT cyber security Technical Skills: Ability to analyze large datasets, identify trends More ❯

configuration and management of SSO and MFA solutions to streamline user authentication and improve security across cloud and on-premise applications. Proficient in data analysis, data lineage, data profiling, master data management, metadata management, ETL/ELT, data warehousing, data lake, data lakehouse, data governance, Big Data, AI/ML, reporting and data visualisation. Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse … Analytics, Azure Databricks Collaborated with Data Engineers to define data integration and orchestration requirements needed to design efficient pipelines Must have worked on digital identity projects, single sign-on's (SSO), biometrics, retina scans. NOT cyber security Technical Skills: Ability to analyze large datasets, identify trends More ❯

Engineer 6 month Northampton - hybrid £450 per day inside ir35 - Umbrella only Job Description: 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS … services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Key Skills: AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. … Pipelines: Creating and implementing data pipelines to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL More ❯

Engineer 6 month Northampton - hybrid £450 per day inside ir35 - Umbrella only Job Description: 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS … services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Key Skills: AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. … Pipelines: Creating and implementing data pipelines to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL More ❯