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Resp & Qualifications
PURPOSE:Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. Creates data collection frameworks for structured and unstructured data. Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent. Employee is recognized as an expert within the organization and has in-depth and/or breadth of expertise in own discipline and broad knowledge of other disciplines within the function. Anticipates internal and/or external business challenges and/or regulatory issues; recommends process, product or service improvements. Solves unique and complex problems that have a broad impact on the business. Contributes to the development of functional strategy. Leads project teams to achieve milestones and objectives.ESSENTIAL FUNCTIONS:- Leads project teams to achieve milestones and objectives. Creates data collection frameworks for structured and unstructured data. Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. Develops data models by studying existing data warehouse architecture; evaluating alternative logical data models including planning and execution tables; applying metadata and modeling standards, guidelines, conventions, and procedures; planning data classes and sub-classes, indexes, directories, repositories, messages, sharing, hiding, replication, back-up, retention, and recovery.
- Solves the most complex problems; takes a new perspective on existing solutions. Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Recommends process, product or service improvements. Solves unique and complex problems that have a broad impact on the business. Contributes to the development of functional strategy. Acts as a mentor for colleagues with less experience.
- Manage the data collection process providing interpretation and recommendations to management. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
- Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using various technologies (e.g. Hadoop or equivalent MapReduce platform). Defines, designs and build dimensional databases and data pipelines to support analytics projects.
- Oversees the delivery of engineering data initiatives and projects. Supports long term data initiatives as well as Ad-Hoc analysis and ETL activities. Creates data collection frameworks for structured and unstructured data. Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
- Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies. Provide technical guidance and support to developers, data engineers and data administrators. Develop strategies for data acquisitions, recovery and implementations.
- Data Management\Certified Analytics Professional (CAP)
- 10 years Experience leading database design and developing modeling tools.
- Experience in leading data engineering and cross functional teams to implement scalable and fine tuned ETL/ELT solutions for optimal performance.
- Experience developing and updating ETL/ELT scripts.
- Hands-on experience with application development, relational database layout, development, data modeling.
- Expert in at least one programming language (i.e., SQL, NoSQL, Python).
- Knowledge of multiple database technologies - structured and un-structured.
- Ability to quick learn new technology and take direction.
- Strong customer service orientation.
- Provide direction to and lead technical teams.
- Requires strong organizational with the ability to handle multiple priorities.
- Excellent communication skills both written and verbal.
- Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.
- ID: #49919967
- State: District of Columbia Washington 20002 Washington USA
- City: Washington
- Salary: USD TBD TBD
- Job type: Permanent
- Showed: 2023-05-12
- Deadline: 2023-07-10
- Category: Et cetera