Design, build, and optimize scalable data pipelines using Databricks, Apache Spark, Delta Lake, and Unity Catalog.
Develop ingestion frameworks for structured and semi‑structured data from multiple enterprise sources.
Implement data governance, data quality, and security controls across the data lifecycle.
Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services.
Lead support of client’s Azure Data platform and Power BI Environment, including response to any escalations while helping to analyze and resolve incidents for customers environment.
Consult, develop, and advise on solutions in Microsoft Azure with tools such as Synapse, Data Factory, Databricks, Azure ML, Data Lake, Data Warehouse, and Power BI.
Consistently learn, apply, and refine skills around data engineering and data analytics.
3Cloud hires people who aren’t afraid to experiment or fail and who are willing to give direct and candid feedback. They hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for clients.
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow.
Lead efforts to canonicalize raw healthcare data into internal models.
Onboard new customers by integrating their raw data into internal pipelines and canonical models.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They serve over 85 health plans, including many of the top 20, representing more than 270 million lives, with an AI-powered platform and expertise.