Data Engineer
Core
Architect and implement scalable data pipelines, data lakes, warehouses, and semantic layers to support enterprise analytics and operational systems.
Role type
Senior Data Engineer (Data Architecture & Analytics)
Builds
Scalable data pipelines, dimensional data models, semantic layers, Power BI dashboards, and curated datasets.
Domain
Healthcare technology / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Dimensional modeling (Star/Snowflake schemas), Data Lake/Warehouse architecture, Power BI semantic modeling, DAX, AWS cloud services (Redshift, S3, EMR, Lambda), Python, SQL, PySpark, Data governance frameworks, Data lineage management, Performance optimization (partitioning, indexing)
Preferred skills
MLOps, AI data pipelines, AWS SageMaker/Glue ML/Databricks, Tableau
Technologies
AWS (Redshift, S3, EMR, Lambda, Glue Data Catalog), Azure Synapse, Power BI, DAX, Python, SQL, PySpark, Erwin, SQL Data Modeler
Responsibilities
Architect and implement scalable data pipelines for structured and unstructured data; Design end-to-end data solutions including Data Lake, Warehouse, and Mart; Develop and maintain Power BI semantic models, datasets, and dashboards; Create and optimize DAX measures and business metrics; Design enterprise dimensional data models and semantic layers; Enforce data governance standards and manage data lineage; Optimize system performance through partitioning and indexing strategies.
Seniority
Senior, hands-on IC
