A Data Engineer is responsible for designing and modelling Data Lake solutions/data ingestion pipelines by collaborating with our users and extended team members by understanding requirements on digital transformation.
They have the drive to collaborate, gather feedback, solve problems, and tackle data related challenges.
They work closely with Software Engineers, Data Scientists, Azure Network Administrator teams to build a scalable compliant data system.
What would your day look like
Contribute to data engineering solutions, ensure the continuity of data processes and the associated batch jobs.
Contribute to end-to-end data solutions of our customers: from raw data analysis to data flow and predictive framework configurations.
Learn to work on a problem independently and prepare high quality deliverable with minimal supervision.
Monitor all data update processes and outputs to ensure predictive quality.
Understand and follow automation, deployment, and operational processes of data pipelines
Champion healthy team culture aligned with the mission and values of Providence ie, Integrity, Compassion, Dignity, Respect, Justice.
Cultivate an ever-learning mindset to strengthen understanding of global health care systems.
Who are we looking for
Candidates with passion for working in data solutions with knowledge on the fundamental concepts of data storage and retrieval.
Possesses basic knowledge in Database and Data Modeling concepts.
Possesses ability to learn Extract-Transform-Load tools like Informatica/DataStage/Ab initio
Familiarity with scripting language such as Linux/Unix scripting, Python, SQL queries
Eager to learn and experience data management, and technologies on cloud/Azure data platform