be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience We’re committed to providing our people with a great environment to work in. More ❯
limited to: Data Strategy/Modeling/Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance. Required Qualifications: • Active TS/SCI Clearance with Polygraph • 5+ years experience as a Data Scientist, Data Analyst, or More ❯
platform providing secured access to large datasets. • Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. • Model data and metadata to support ad-hoc and pre-built reporting. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business More ❯
engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems More ❯
Extensive experience designing and implementing data analysis and management programs in large financial institutions. Strong understanding of data quality metrics, master data management, and metadata management. Regulatory & Risk Management: Experience in Operational risk domains including but not limited to - Data risk, Fraud risk, Tech risk, Cyber risk, Op resiliency risk More ❯
limited to: Data Strategy/Modeling/Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance Required Qualifications: • Active TS/SCI Clearance with Counterintelligence (Cl) Polygraph • 5+ years experience as a Data Scientist, Data More ❯
Extensive experience designing and implementing data analysis and management programs in large financial institutions. Strong understanding of Data quality metrics, master data management, and metadata management. Regulatory & Risk Management Experience in Operational Risk domains incuding but not limited to Data Risk, Fraud Risk, Tech Risk, Cyber Risk, Op Resiliency Risk More ❯
be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer More ❯
business goals and deliver measurable value. What We're Looking For: Deep Understanding of Data Management: Proven expertise in data quality, governance, security, and metadata management. Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin. Data Modelling and Architecture: Ability to design and More ❯
with organizational data governance and quality standards. Optimize data models for performance, scalability, and usability in data warehouse and reporting environments. Create and maintain metadata documentation, including data dictionaries and model diagrams. Analyse existing data sources and systems to identify opportunities for optimization and integration. Work with database administrators to More ❯
with organizational data governance and quality standards. Optimize data models for performance, scalability, and usability in data warehouse and reporting environments. Create and maintain metadata documentation, including data dictionaries and model diagrams. Analyse existing data sources and systems to identify opportunities for optimization and integration. Work with database administrators to More ❯
analysis to uncover insights from complex datasets Data profiling and quality assessment methodologies Expertise in creating and maintaining data artifacts: Data dictionaries and comprehensive metadata documentation Entity-relationship diagrams and logical/physical data models Technical specifications for ETL processes and transformations Proven track record of implementing data models and More ❯
policies and procedures and comply with DoD and federal government regulations. Guide teams in implementing best practices for data governance, data quality management, and metadata management. Qualifications Master's degree in an Information Technology discipline or a related field. 10+ years of experience in engineering and deploying cloud based information More ❯
teams to ensure clear communication of data-related business requirements. What We're Looking For: Knowledge and Skills: - Expertise in data governance, data quality, metadata, profiling, and analysis in a financial services environment. - Familiarity with BCBS239 in a Tier 1/Tier 2 bank. - Proficiency in Microsoft Excel, Visio, PowerPoint More ❯
modeling, database design, and information systems implementation Demonstrated knowledge and expertise in enterprise data strategy, data governance practices, data stewardship principles, data standards, and metadata management best practices Ability to translate requirements into end-to-end designs for systems that involve multiple interfaces and support data repositories Strong customer service More ❯
Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements. Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration tools. Key Responsibilities More ❯
in Python for automation and data validation. Experience working with Databricks Notebooks and validating data transformations. Familiarity with AWS S3 , including validating file ingestion, metadata, and access control. Understanding of data privacy principles and experience in validating secure data handling. Experience using GitLab for version control and collaboration. Solid understanding More ❯
and capacity planning. Unix (AIX) shell scripting experience. Experience in data migration projects and database administration. Performance optimization for relational and dimensional models. Managing metadata and supporting data governance initiatives. Self-motivated, independent worker with effective communication skills. Familiarity with IBM Cognos Framework Manager, SPSS, and UC4 process flow. Knowledge More ❯
LMI Government Consulting (Logistics Management Institute)
and maintain a DOD Secret Security Clearance. Desired Qualifications Analytical mindset - data-driven and able to problem solve, particularly in the use of platform metadata or logging data to diagnose issues raised by platform users in relation to system functionality, or data pipelines. Good communicator - able to deliver messages effectively More ❯
documenting descriptions, intended audience, key metrics, and usage instructions. Contribute to the business-facing data catalog by logging newly created reports and ensuring proper metadata tagging. Collaborate with stakeholders to validate requirements and deliver actionable insights. Document workflows, requirements, and processes to ensure consistency and reproducibility. Begin informing database design More ❯
and real estate data-including metrics, KPIs, and market trends. Background in data modeling and data management best practices (e.g., dimensional modeling, data governance, metadata management). Ability to provide insights on complex financial data sets and collaborate with relevant stakeholders. WHAT WE OFFER: We are committed to supporting your More ❯
to HQ and field users, assisting them with technical issues and ensuring smooth system operations. System Auditing. Audit system content for missing or inappropriate metadata, report technical issues, and ensure timely resolution of problems. Data Delivery & Documentation. Ensure that data delivery and implementation processes are scheduled, documented, and processed efficiently. More ❯
defect resolution, coding, design, customization and documentation of micro services, creating/developing new cloud service patterns, scripting, data management/enrichment, consolidation of metadata, user-interface development, container (e.g. K8s) integration & design, encrypting data at rest & in transit • Technically integrate/tailor/engineer/design and maintain cybersecurity More ❯
Business Insights Delivery, you will: Create proof of concepts and prototypes as part of the requirement gathering and specification process. Perform intermediate data profiling, metadata documentation, data lineage, data transformation rules in support of offshore development. Be responsible for the development, automating, compiling, and preparing reports, dashboards, cubes, etc. Work More ❯
tools to profile, secure the data in transit and at rest; and to enforce data Governance Controls and Alerting Designing advanced SQL queries Leveraging metadata-driven framework for solutions Developing test scripts for unit and integration testing Leads code review sessions and other process and operational improvement initiatives Exhibits fluency More ❯
