Consultant - Data Engineer

JOB DETAILS

How is this team contributing to vision of Providence:

Healthcare Intelligence is the pillar that focuses on creating intelligent data products within Providence and provides unique opportunities in Data Engineering, Operations, Data Science, BI Reporting and Data Analytics on cloud stack. We are a group of data professionals who work towards enabling decisions that improve patient and caregiver experience.

What will you be responsible for:

A Data Engineer is responsible for designing and modelling Data lake solutions/data ingestion pipelines by collaborating with our customers and understanding requirements on digital transformation. Able to navigate through ambiguous situations, to deal with aggressively changing environment. The drive to collaborate, gather feedback, solve problems, and tackle challenges through test and learn is highly valuable in this position.  Should work closely with Software Engineers, Data Scientists, Azure & Network Administrator teams to build a scalable & compliant data system. Work with different stakeholders as SME for Data Engineering work.

What would your week look like:

• Be the owner for data engineering and data governance solutions within Healthcare Intelligence. Ensure the continuity of data processes and the associated batch jobs.
• Identify, design and implement/coordinate implementation of scalable processes and infrastructure to have good governance of automated data processes.
• Manage the end-to-end data solutions of our customers: from raw data analysis to data flow and predictive framework configurations.
• Should be able to work on a problem independently and prepare client ready deliverable with minimal supervision. Elicit, analyze, and validate customer data from ingestion to production
• Monitor all data update processes and outputs to ensure predictive quality
• Communicate with customers to discuss any issues with received data and help them identify and fix data issues
• Solve day-to-day Data problems and customer challenges

 Who we are looking for:

• Strong Data Governance Concepts, DG Operating Model, DG Policies, Metadata Management, Data Quality Management, Business analysis, MDM/RDM concepts.
• Familiarity in Python, SQL Queries and Database concepts required. Exposure to cloud onboard from legacy data sets.
• Familiarity in Azure Data technologies like Data lake ADLSGen2, DataBricks, Azure Data factory.
• Familiarity in creating data orchestration using ADF and optimizing them through regular monitoring.