Power BI Developer
Location: Hybrid - Washington DC (Once or Twice a week)
Duration: 6+ Months Contract Then Full Time (C2H)
(Target locals to the DC area or Less then 100Miles / USC or GC)
Client: CINQCARE
Rate: $55 to $60/hr
The Power BI/Data Engineer will have the following responsibilities:
The Data Engineer will be responsible for the design, development and delivery of data pipelines and value-added data assets, leveraging a variety of data warehousing methodologies and disciplines to ingest the data from heterogeneous sources into cloud-based Data-Lake Environment in AWS.
Strong knowledge of the Power BI Environment administration, and working with the admin portals
Grow and integrate Power BI services by designing and deploying workspaces, Tenant settings, data models, app tiers, gateways, report services, and dashboard support
Responsible for providing full lifecycle Power BI administration (patches, updates, AD security, account management, capacity management, documenting processes) including the ability to work with data owners and report developers to support their requirements
Manage initiatives & projects of significant complexity and risk. Excellent business and communication skills to be able to work with business owners providing input to prioritized roadmaps, develop work estimates, and ensure successful delivery to support strategic planning and initiatives, improve organizational performance, and advance progress towards CINQCARE's goals.
Assist in the overall architecture of the ETL Design and proactively provide inputs in designing, implementing, and automating the data pipelines.
Investigate and mine data to identify potential issues within the data pipelines, notify end-users and propose adequate solutions.
Ensure data quality and integrity within the data lake in the AWS environment with a focus on compliance to HIPAA and state level compliance requirements.
Oversee user permissions and configurations for adherence to documented access management standards and policies.
Independently (with minimal oversight) develop and maintain trusted advisor relationships with business, clinical, and operations leaders at the senior leadership level and with external partners, that include guidance for optimizing use of analytic capabilities and deliverables, and prioritization based on strategic vision.
Use coding/scripting pipelines and APIs to uncover and turn data into assets that are analysis-friendly using AWS services like Athena Data Catalogue, Quick Sight or any other big data tool on AWS.
Create a high-quality catalog of all pertinent data with the primary goal of establishing a single source of truth and significantly increasing productivity by reducing the time required for data search and discovery.
Crossing team boundaries, educate/advise on data projects, on how to combine and aggregate client data across platforms or technologies, and how to make the greatest use of data.
Lead consistent adherence to the Software Development Life Cycle framework and governance processes including, but not limited to leading planning sessions, collecting, and documenting requirements, identifying design patterns, create and define custom transformations, aggregations, and other data manipulations, developing data pipelines, creating documentation, developing test plans, performing unit testing, conducting peer review sessions.
Use knowledge of healthcare industry, market environment, and clinical and business workflows and activities, to inform solution design and development to execute high-quality or differentiated solutions in an established problem space.
