Job Summary: 

• Develop, maintain, troubleshoot and test tasks necessary to develop Data Warehouse and data repositories including ETL solutions.
• Assist with data design and the creation of database architecture and data repositories.
• Work with the team to ensure support documentation and training material is up to date.
• Assist with reports and data extraction when needed.
• Monitor and tune queries and data loads for reliability and availability of all data and ensure they work according to benchmark standards.
• Assist in any tasks as assigned in supporting the development and validation required through the lifecycle of the DWH and Business Intelligence systems
• Maintain user connectivity, and provide adequate security for the data warehouse.
• Design data transformations to meet the business requirements
• Work in conjunction with the Teradata Global Control Framework (GCFR)
• Ensure Data Quality Assurance
• Support Data Modellers in the analysis of data

Skills on Resume: 

• ETL Development (Hard Skills)
• Database Architecture (Hard Skills)
• Data Quality Assurance (Hard Skills)
• Query Optimization (Hard Skills)
• Data Transformation Design (Hard Skills)
• User Connectivity Management (Hard Skills)
• Documentation and Training (Soft Skills)
• Business Intelligence Support (Hard Skills)

Job Summary: 

• Microsoft Azure platform, data factory, data Lake, etc.
• Responsible for moving data from the Data Lake to the Data Warehouse and building operational metrics
• Design optimized data structures and ETL/ELT to deliver analytical business needs
• Design, code, and test SQL store procedures and report extracts to suit business requirements
• Develop operating and system documentation.
• Write and further develop coded reporting scripts.
• Deliver solutions with scheduled and automated data flow
• Assist in the identification and capture of relevant enterprise data, in a consistent, compliant and accurate manner, to facilitate reporting, monitoring, analysis and integration.
• Provide detailed analysis to assist in the identification of root causes of problems and model potential solutions using statistically valid methods
• The high capability required in communicating business insights to support decision-makers
• Work with other members of the data team to turn the data prepared into consumable information and analysis

Skills on Resume: 

• Microsoft Azure Expertise (Hard Skills)
• Data Lake Management (Hard Skills)
• ETL/ELT Design (Hard Skills)
• SQL Procedure Development (Hard Skills)
• Automated Data Flow Solutions (Hard Skills)
• Data Analysis and Reporting (Hard Skills)
• Business Insight Communication (Soft Skills)
• Collaborative Data Preparation (Soft Skills)

Job Summary: 

• Identifies, analyses and resolves processing errors, working with relevant stakeholders to ensure business processes are rapidly rectified and expected service resumed.
• Plays a key role in moving knowledge transfer and support of NCP data integrations to the internal team (this role is part of the internal team) from a partner consultancy team
• Plays a key role in delivering future Enterprise Data Warehouse solutions in conjunction with a partner consultancy team 
• Actively propose improvements and development of current and future data tech stack
• Work closely with data analysts and gather requirements
• Integrate new data sources into the data warehouse
• Develop highly scalable & performant data models - enabling complex data science projects for analysts
• Help define and create Fact and Dimension tables within the enterprise data warehouse
• Create, maintain and improve performance
• Troubleshoot slow-running queries against the data warehouse
• Suggest solutions to overcome issues and solve future reporting initiatives

Skills on Resume: 

• Error Resolution (Hard Skills)
• Knowledge Transfer (Soft Skills)
• Data Warehouse Solutions (Hard Skills)
• Tech Improvement (Hard Skills)
• Requirements Gathering (Soft Skills)
• Data Integration (Hard Skills)
• Data Model Development (Hard Skills)
• Performance Optimization (Hard Skills)

Job Summary: 

• Handle end-to-end data pipelines from heterogeneous input and output for analytical purposes
• Become a data architect by implementing appropriate data modeling concepts depending on data types and use cases
• Manage a single version of truth, turning data into critical information and knowledge that can be used to make sound business decisions
• Define clear and well-scoped requirement documents including specs and workflows that are easily understood by technical and non-technical audiences
• Work with Product Managers, Analysts and Product Engineers to ship data warehouse features and data product improvements
• Contribute to the product strategy and execute the prioritized roadmap for team
• Document and maintain a data dictionary based on MDM standards that ensures data quality and governance
• Work directly with application developers, business analysts, SEO analysts and quality assurance personnel to deliver new data warehouse functionality to stakeholders
• Collaborate in planning, designing, developing and deploying new data warehouses/BI applications, and enhancements to existing applications
• Work with the Business Analyst to identify business requirements and evaluate data availability to ensure reporting goals are achieved
• Assist the BI Developer with data mapping from warehouse tables to the BI database layer, and from the business layer to the presentation layer

Skills on Resume: 

• Data Pipeline Management (Hard Skills)
• Data Modeling (Hard Skills)
• Single Version of Truth (Hard Skills)
• Requirement Documentation (Hard Skills)
• Data Warehouse Collaboration (Hard Skills)
• Product Strategy Execution (Hard Skills)
• Data Dictionary Maintenance (Hard Skills)
• BI Application Development (Hard Skills)

Job Summary: 

• Design Data Vault model for Data Warehouse
• Create and manage data loading using an automation tool (WhereScape)
• Develop automation rules and templates in WhereScape
• Manage change requests and business requirements related to the existing model
• Design and develop a Business Vault layer, containing aggregated data and/or results of complicated business logic
• Design and develop a virtualized end-user layer with views
• Build strong relationships with stakeholders and the other delivery team members to form a successful center of excellence for Data within NCP
• Offer support to other technical team members, testers and business analysts to ensure the team delivers high-quality solutions in the minimum time frame
• Works to understand the function of the NCP business to ensure the context of the data is clear to all members of the team
• Delivers high-quality data solutions (ETL, ADF pipelines, rest services, python scripts and reports) using agile methods, ensuring delivery in line with NCP environmental, technical and project processes
• Designs and builds solutions with consideration for support, with high-quality exception management and alerting 

Skills on Resume: 

• Data Vault Design (Hard Skills)
• Data Loading Management (Hard Skills)
• Automation Development (Hard Skills)
• Change Request Management (Hard Skills)
• Business Vault Development (Hard Skills)
• End-User Layer Design (Hard Skills)
• Stakeholder Relationship Building (Soft Skills)
• High-Quality Data Solutions (Hard Skills)

Job Summary: 

• Design and develop SQL Data Warehouse and ETL routines.
• Maintain, support, and Performance Tuning of production SQL Queries and ETL routines.
• Recommendations for improving Data Warehouse design.
• General responsibility of service provision to all of FNZ (UK) Ltd.
• Ensuring Data Warehouse is available for all recipients
• Assist team with building (end-to-end)  and maintaining data marts according to business requirements and data warehousing best practices using the full Microsoft Business Intelligence stack of SSMS, SSIS, SSRS, SSAS and Master Data Services.
• Apply analytical and problem-solving skills when engaging with business process owners to understand how best to fulfill their business intelligence needs.
• Collaborate among the team and with business process owners and source system developers to keep informed of underlying business requirements and source system changes that should be accommodated in a data mart.
• Assist with optimizing the architecture and operation of the data warehouse according to refactored data mart development practices.
• Migrate data marts from on-premises hardware to Azure/cloud computing.
• Engage business users more effectively through data visualization innovation.

Skills on Resume: 

• SQL Data Warehouse Design (Hard Skills)
• ETL Routine Development (Hard Skills)
• Performance Tuning (Hard Skills)
• Data Warehouse Recommendations (Hard Skills)
• Data Mart Development (Hard Skills)
• Analytical Problem-Solving (Soft Skills)
• Business Requirement Collaboration (Soft Skills)
• Data Migration (Hard Skills)

Job Summary: 

• Carry out routine quality checks as agreed with the Data Services Manager and provide recommendations for improvements.
• Working with BI Developers to develop, support and enhance ETL and data warehouses to support the Business need
• Ensure that the data extracts, cubes and reports meet the business, functional, performance and availability requirements.
• Provide estimates of timescales for the work on behalf of the UK MIS Team.
• Carry out impact assessments, with specifications, for project and change requests according to timescales agreed with the Data Services Manager.
• Design test data and results, in conjunction with the Business, to fully test the data extracts, reports and cubes pre-production.
• Assist the UK Test Team with the testing of deliverables.
• Work with UK IT Development Business Analysts to understand the reporting requirements of relevant project and change requests to ensure reporting impacts are correctly understood and impact assessments thereon understood.
• Perform post-implementation reviews of the project and change requests to ensure met business expectations.
• Carry out impact assessments, with specifications, for project and change requests according to timescales agreed with the Data Services Manager.
• Develop the project and change request requirements according to agreed specifications and target dates in line with prioritization and plans.

Skills on Resume: 

• Quality Checks (Hard Skills)
• ETL Support and Enhancement (Hard Skills)
• Data Requirement Validation (Hard Skills)
• Timescale Estimation (Hard Skills)
• Impact Assessment (Hard Skills)
• Test Data Design (Hard Skills)
• Collaboration with Analysts (Soft Skills)
• Post-Implementation Review (Hard Skills)

Job Summary: 

• Design software based on the user requirements given by functional and business experts. 
• Translate application storyboards and use cases into fully functional business process solutions.
• Function as a primary contributor in designing, coding, testing, debugging, documenting and supporting all types of DWH/OLTP applications consistent with established specifications and business requirements to deliver business value.
• Give recommendations and feedback on solution design and development to facilitate the growth of the overall team. 
• Validate any work done, whether development or issue resolution, will be thoroughly tested.
• Design, develop & test components across development, test, production environments and implementation support
• Devise data verification and quality check and system standard procedures that will be used to support Enterprise DW/BI platforms.
• Develop complete descriptions of all specifications and solutions
• Work under pressure, accept new challenges and take over responsibility. 
• Provide consulting and solution options on application issues encountered by end users
• Conduct efficient team meetings, and bring transparency to the team and management.

Skills on Resume: 

• Software Design (Hard Skills)
• Business Process Solutions (Hard Skills)
• DWH/OLTP Development (Hard Skills)
• Solution Design Feedback (Soft Skills)
• Work Validation (Hard Skills)
• Component Testing (Hard Skills)
• Data Quality Procedures (Hard Skills)
• Consulting on Issues (Soft Skills)

Job Summary: 

• Successfully integrated Java web application with Microsoft ADFS using Spring Security SAML Extension.
• Work on Apache Ant build scripts to package and generate war files for deployment to Apache Tomcat Server.
• Work on documenting all the steps involved, technical specifications, configuration changes required, technical problems and steps taken to resolve and complete the migration process to Azure. 
• Custom programming to accommodate client requests.
• Work on JavaScript, JQuery, Google Maps API, AJAX, HighCharts API, DataTables API, HTML and CSS on the front end.
• Work on JQuery UI Components - Widgets (Tabs, Accordion, AutoComplete, Button, Dialog, menu, Select menu, Progress Bar, Tooltip), Effects (Animations, Style, Toggle), Interactions (Resizable, Select, Sort) and many other Utilities provided.
• Develop server-side components in Java\J2EE and middleware Service/DAO components using Spring Framework Modules - Spring Core, Spring MVC, Spring JDBC and Spring Security LDAP.
• Considering the need for dynamic and interactive behavior, implemented RESTful Web Service using AJAX/JSON with Spring Framework for client and server communication. 
• Work on designing JSON format used as a data exchange format between front end and server.
• Perform Unit Testing using JUnit.
• Data Modeling and Database design assisted in transforming the logical database model into a physical schema.

Skills on Resume: 

• Java Web Integration (Hard Skills)
• Build Script Management (Hard Skills)
• Documentation and Migration (Hard Skills)
• Custom Programming (Hard Skills)
• Front-End Development (Hard Skills)
• jQuery UI Components (Hard Skills)
• Server-Side Development (Hard Skills)
• RESTful Web Services (Hard Skills)

Job Summary: 

• Adapts business requirements, developed by modeling development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application 
• Analyzes and determines informational needs and elements, data relationships and attributes, proposed manipulation, data flow and storage requirements and data output and reporting capabilities 
• Models, designs, develops and implements database applications utilizing NoSQLnon-relational databases, including object-oriented, column, document, and graph technologies 
• Defines logical attributes and inter-relationships and designs data structures to accommodate database production, storage, maintenance, and accessibility 
• Develops transformations to move data between relational and non-relational representations 
• Documents and communicates database design 
• Assists in the design of data model prototypes 
• Participates in quality assurance and develops test application code 
• Provides expertise in devising, negotiating, and defending the tables and fields provided in the database 
• Ensures application interoperability with IT infrastructure components while ensuring compliance with wide-ranging information security requirements 
• Ensures interoperability with other applications or subsystems (e.g. interface management, data integration systems, job automation) 

Skills on Resume: 

• Requirement Adaptation (Hard Skills)
• Needs Analysis (Hard Skills)
• NoSQL Development (Hard Skills)
• Data Structure Design (Hard Skills)
• Data Transformation (Hard Skills)
• Database Documentation (Hard Skills)
• Model Prototyping (Hard Skills)
• Interoperability Compliance (Hard Skills)