Digital Convergence Technologies Inc.
Location
Pune | India
Job description
Identify and define data requirements for data distribution/consumption use cases required by enterprise healthcare customers to include: · Knowledge of data modeling, data integrity principles and SQL.· Attributes, metrics, lookup/reference data required for Data Marts (e.G.: Risk Adjustment) and be able to explain to engineering:o Data orientations/organization of the data required to build an ETL pipeline. o Core vs. ancillary attributes/metrics in our lossless canonical models o Expected cardinality vs. outlier ranges for attributes/metrics. o Attributes and calculations required to define healthcare industry metrics/KPI/KQIs.o Typical queries users would ask of the data: Facts, Dimensions, JOINs · Data delivery patterns using complex events or business rules. · Data enrichment (standardization, transformations, algorithms, grouping) · Guaranteed data quality criteria required to meet specific SLAs to include data federation with business specific, governed data sources within an enterprise. · Work with Engineering to manage, groom, and prioritize the product feature backlog to include creating epics and acceptance criteria. · Help define Abacus data distribution implementation practices o Partner with health plan service providers to define and drive adoption of Abacus data distribution APIs/SDK · Work with Client Management for product support during client engagements In a Technical Role with: · Healthcare IT · Data analysis, modeling, and administration in cloud technologies · APIs/SDKs, business rules processing, data federation and data distribution technologies· Working with Engineering teams in highly technical environments · Bachelor’s degree in computer science, information systems, analytics, or related field, and/or equivalent
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