251 to 275 of 626 Metadata Jobs

optimization, major security competencies with encryption. Solve performance issues and scalability issues in the system. Create, test, and implement enterprise-level apps with Snowflake. Data warehousing concepts, data modeling, metadata management Mandatory Qualifications: 10 years of experience in database development 5 years of experience in Snowflake development and administration Bachelors degree or 7 yrs hands-on experience Preferred Qualifications: Knowledge More ❯

define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyze and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as JSON, XML, CSV, and Parquet More ❯

define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyse and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as JSON, XML, CSV, and Parquet More ❯

define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyze and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as JSON, XML, CSV, and Parquet More ❯

define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyze and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as JSON, XML, CSV, and Parquet More ❯

Key Responsibilities Provide 1st and 2nd line support for web applications, with a focus on AEM-based websites. Troubleshoot issues related to content publishing, page rendering, site performance, and metadata in AEM. Monitor and report on site performance and search indexing via Google Search Console. Collaborate with developers, content editors, QA, and DevOps teams to resolve technical issues. Manage and More ❯

high-impact, and mission-aligned role-this opportunity is for you. RESPONSIBILITIES Develop and implement data governance strategies across enterprise systems Lead efforts in data integration, quality assurance, and metadata management Define and enforce policies for data access, lineage, and lifecycle management Collaborate with cybersecurity and cloud teams to ensure secure data sharing and storage Support development of enterprise data More ❯

data mapping and transformation logic instructions to load source data to data warehouse target tables. Coordinates and conducts testing of reports, database objects, and related products. Creates and maintains metadata for reports. Other duties as assigned or required. Requirements Required: 3 years' experience performing data analysis. MS Excel work experience. Must be a team player and able to work in More ❯

ETL/ELT using Matillion or similar tools. • Strong Python and SQL skills, with a good understanding of data formats • Demonstrated experience in designing data lakes, data pipelines, and metadata management. • Solid understanding of CI/CD pipelines, infrastructure automation, and agile delivery. • Background in consulting, including stakeholder engagement and client-facing delivery. • Proven success in responding to RFI/ More ❯

ETL/ELT using Matillion or similar tools. • Strong Python and SQL skills, with a good understanding of data formats • Demonstrated experience in designing data lakes, data pipelines, and metadata management. • Solid understanding of CI/CD pipelines, infrastructure automation, and agile delivery. • Background in consulting, including stakeholder engagement and client-facing delivery. • Proven success in responding to RFI/ More ❯

a related field Minimum of 10 years in a commercially led sales consulting role Strong understanding of data governance frameworks, best practices and trends Experience with data quality management, metadata management, and data linage Excellent communication and interpersonal skills Ability to work independently and as part of a team Knowledge of Varonis or Big ID Platforms Relevant certifications (e.g., CDMC More ❯

a related field Minimum of 10 years in a commercially led sales consulting role Strong understanding of data governance frameworks, best practices and trends Experience with data quality management, metadata management, and data linage Excellent communication and interpersonal skills Ability to work independently and as part of a team Knowledge of Varonis or Big ID Platforms Relevant certifications (e.g., CDMC More ❯

a related field Minimum of 10 years in a commercially led sales consulting role Strong understanding of data governance frameworks, best practices and trends Experience with data quality management, metadata management, and data linage Excellent communication and interpersonal skills Ability to work independently and as part of a team Knowledge of Varonis or Big ID Platforms Relevant certifications (e.g., CDMC More ❯

million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/ More ❯

million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/ More ❯

million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/ More ❯

build of high performance/high volume database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced in SQL CLRs, SSRS, and More ❯

data analytics (Python, Perl, Bash, etc.) Must be highly proficient within at least two of the following skill areas: Mathematics/Statistics Computer Science Scripting Cloud Computing Data Mining, Metadata Analysis or Machine Learning Artificial Intelligence Data Visualization or Data Automation. Must have familiarity with relational capabilities integration, a wide variety of tools and tradecraft, as well as automation of More ❯

data analytics (Python, Perl, Bash, etc.) Must be highly proficient within at least two of the following skill areas: Mathematics/Statistics Computer Science Scripting Cloud Computing Data Mining, Metadata Analysis or Machine Learning Data Visualization or Data Automation Must have familiarity with relational capabilities integration, a wide variety of tools and tradecraft, as well as automation of analytic processes More ❯

skills: Experience in product experience management, digital commerce, or product content operations. Proven experience in implementing or supporting PXM systems ( Akeneo , Salsify, inRiver , etc) Strong understanding of product taxonomy, metadata, attributes, lifecycle management, content syndication and data workflows. Excellent analytical and problem-solving skills with the ability to communicate technical concepts to non-technical stakeholders. Experience integrating PXM systems with More ❯

governance tools and technologies to automate and enhance the management of data across the DoD enterprise. Evaluate and select data governance tools that meet DoD requirements for data management, metadata management, and data lineage tracking. Implement tools for automating data quality management, access control, and auditing processes. Integrate data governance tools with existing DoD systems and platforms to enable end More ❯

test management system Mentor QE's on test environment provisioning and test data creation/useage Create or accurately request complex test data, taking into account referential integrity and metadata What you'll need Accomplished Test Automation Engineer helping to develop a robust and future-facing Automation & Frameworks. Experience in creating UI and API automated tests using automation tools such More ❯

the GEOINT Program of Analysis or other mechanisms that guide analytic efforts. Read, extract and plot coordinates using multiple maps and chart scales, projects, and datums. Provide and create metadata to support structured observations in support of the ODNI's OBP initiatives. Provide imagery analysis services on orders of battle, battle damage assessment, and other core skill sets as dictated More ❯

personalization, commerce, lifecycle, and identity. We're changing the world of streaming video and looking for a fearless, talented software engineer to build our vision of a global content metadata management platform to delight our operators and captivate our viewers. As a Lead Software Engineer in the Content Catalog team, you will drive the technical architecture, implementation and improvement of More ❯

monitoring to ensure high availability and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access. Leverage metadata and structured data modeling to support AI model explainability and audit trails. Guide engineering teams on best practices for cloud-based data handling, Terraform, and secure service architecture. Coach junior More ❯