Job Summary: 

• Work closely with the Product Manager, Data Developers and Business Analysts to create and maintain the data models and the data modelling standards that bring target data architecture to life, at both a conceptual, logical and physical level.
• Help on the definition of conceptual models as well as on the Data Warehouse logical and physical models which will allow the business to easily understand and query data.
• Understand and document how operational/source systems work (process flows), data models at the source, and logic required to be applied in the ETL pipelines in order to build the Data Warehouse models.
• Work across the data team to design, create, and launch the data assets that deliver on the agreed data models
• Transform data using ETL (Extract, Transform, and Load) processes to ensure the data is easily accessible and efficiently built
• Actively seek out and collect a variety of data inputs from internal and external sources to inform predictive policing and enhance analytical insight.
• Ensure that the data pipeline, the acquisition, and processing of data are working efficiently for the Data scientists and insight teams.
• Develop algorithms to help make raw data more useful to the Data Science and Analytical teams
• Ensuring systems meet business requirements and enterprise practices

Skills on Resume:

• Data Modeling (Hard Skills)
• Conceptual Model Definition (Hard Skills)
• Source System Analysis (Hard Skills)
• ETL Transformation (Hard Skills)
• Data Asset Creation (Hard Skills)
• Data Collection (Soft Skills)
• Algorithm Development (Hard Skills)
• Requirement Gathering (Soft Skills)

Job Summary: 

• Creating as well as execution test scenarios and test cases.
• Develop data pipelines using top-class data management frameworks
• Deploy assets using CI/CD pipelines
• Reuse existing components, define and propose new reusable components
• Build sophisticated yet simple unit and integration tests, be responsible for your software (in a good way)
• Suggest new user stories to the product owner and technical lead 
• Work with a scrum team(s) to deliver Product stories according to priorities set by the client and the Product Owners
• Provide development support for production defects
• Organized both in terms of work management and written code
• Developing using the Hadoop platform

Skills on Resume: 

• Test Scenario Creation (Hard Skills)
• Data Pipeline Development (Hard Skills)
• CI/CD Deployment (Hard Skills)
• Component Reusability (Hard Skills)
• Unit and Integration Testing (Hard Skills)
• Agile Collaboration (Soft Skills)
• Production Support (Hard Skills)
• Work Organization (Soft Skills)

Job Summary: 

• Designing, constructing, testing, implementing and maintaining scalable datamart solutions and analytic tools/apps for business needs
• Performing collection, cleansing, merging and management of data from various sources and building the curated dataset for business reporting
• Model data embedding business rules / logics, using a staged approach for data processing
• Transitioning datasets from legacy products and external data sources to Google Cloud Platform suite
• Overseeing implementation in the team of new technologies and software engineering tools
• Work cross-functionally with the Business Apps Management and Infrastructure teams
• Involved in the development activities with an emphasis on extensibility and performance
• Participate in the technical and architecture design of data usage
• Utilize the latest techniques in ETL, Datawarehouse, Data interface, ESB and services to enhance data usage and finally user experience for internal/external customers

Skills on Resume:

• Datamart Development (Hard Skills)
• Data Management (Hard Skills)
• Data Modeling (Hard Skills)
• Google Cloud Proficiency (Hard Skills)
• Technology Oversight (Hard Skills)
• Cross-functional Teamwork (Soft Skills)
• Performance Optimization (Hard Skills)
• ETL Techniques (Hard Skills)

Job Summary: 

• Develop transformation scripts and data validation reports
• Perform data loads in Workday
• Resolve issues or defects raised
• Develop technical designs & function data mappings from client requirements, including organising & participating in workshops
• The creation of pipelines using Azure Data Factory
• Liaise with the data architects and data governance leads to help promote a center of excellence
• Use and further promote Big Data techniques and tools including data lakes, data bricks, etc
• Present ETL documentation and designs to team members and convey complex information in a clear and concise manner.
• Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient ETL processes.

Skills on Resume:

• Script Development (Hard Skills)
• Workday Data Management (Hard Skills)
• Issue Resolution (Soft Skills)
• Data Mapping and Design (Hard Skills)
• Azure Data Factory (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Big Data Technologies (Hard Skills)
• Effective Communication (Soft Skills)

Job Summary: 

• Design, develop, implement, and support data solutions.
• Coordinate with a team of developers to meet delivery requirements within a larger application project.
• Provide support to various business and technology teams during requirements definition, estimating, designing, development, and delivery
• Ensure quality, scalable, and robust solutions.
• Develop and maintain ELT processes for real-time ingestion from multiple sources.
• Develop and maintain enterprise business intelligence models.
• Maintaining integrations to external APIs such as Google, Facebook, Cloudtrax, Yelp, and others.
• Adherence to industry standards and compliance with global regulations including GDPR and CCPA.
• Be a leader in representing best practices and forward-thinking.
• Development of Real-Time processing processes over the pipeline.

Skills on Resume:

• Data Solution Architecture (Hard Skills)
• Project Coordination (Soft Skills)
• ELT Process Development (Hard Skills)
• Business Intelligence Modeling (Hard Skills)
• API Integration (Hard Skills)
• Compliance Knowledge (GDPR, CCPA) (Hard Skills)
• Leadership and Best Practices Advocacy (Soft Skills)
• Real-Time Data Processing (Hard Skills)

Job Summary: 

• Responsible for working within a team to deliver data integration projects across a wide variety of systems in support of business functions and processes to improve advisor experience.
• Design, develop, document, and test ETL solutions using industry standard tools. 
• Understand and support metadata management and information science practices that unlocks data as an asset for the firm and improves its usability through its lifecycle.
• Maintain technical documentation that facilitate understanding, maintaining, reusing and refactoring of code.
• A thorough acquaintance with the business processes of data providers and consumers.
• Enrich existing pipelines using the latest Azure features
• Perform data cleansing and correction
• Building and maintaining new data structures and design data processing systems

Skills on Resume:

• ETL Development (Hard Skills)
• Metadata Management (Hard Skills)
• Technical Documentation (Hard Skills)
• Data Cleansing (Hard Skills)
• Azure Platform Proficiency (Hard Skills)
• Team Collaboration (Soft Skills)
• Business Process Understanding (Soft Skills)
• Problem Solving (Soft Skills)