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Job Description
How is this team contributing to vision of Providence
- Ensure a continual and seamless service for customers regardless of which services they access. What will you be responsible for
- Design, develop, and maintain end to end data pipelines and ETL/ELT workflows using Python, SQL, Azure Data Factory, Snowflake, Databricks, and related services.
- Build scalable data ingestion frameworks to extract, parse, transform, and load structured, semi-structured, and unstructured data from files, APIs, databases, and enterprise applications.
- Drive improvements in data architecture, performance tuning, optimization, and reduce technical debt across data systems
- Monitor, troubleshoot, and enhance existing data pipelines and systems proactively resolve data issues and production defects.
- Developing Ad hoc and delivered reports using SQL backend queries with Power BI to display the data.
- Displaying advanced analytics skills for providing insights to business owners.
- Communicate clearly when faced with unclear requirements or difficult situations so blockers can quickly be removed.
- Maintain strong documentation of data processes, ER diagrams, and architecture.
- Stay current with emerging data technologies, tools, and industry best practices, and advocate improvements within the team. What would your day look like
- Understand business and feature requirements.
- Create design documents and architecture documents along with principal engineer and architects.
- Build and enhance data pipelines using Azure Data Factory, Databricks, Python, and Snowflake.
- Onboard different data sources for integration using ADF, Databricks, Snowflake.
- Work in Agile mode and work on assigned user stories.
- Ensure code is always checked in and ensure source control standards are followed.
- Collaborate with different teams to understand end to end requirement for new data/report.
- Working on AI use cases/initiatives. Who are we looking for
- 5-8 years of professional experience in Data Engineering.
- Strong programming skills in Python for ETL, data ingestion, and data transformation.
- Hands on expertise in Azure Cloud (ADF, Azure Databricks, Azure Storage, Azure SQL, Synapse, etc.).
- Strong knowledge on Power BI and advanced analytics.
- Deep knowledge of SQL including complex queries, performance tuning, stored procedures.
- Experience with Snowflake-warehouse design. Solid understanding of data modeling (Star/Snowflake schemas), data warehousing concepts, workflows, and metadata management.
- Experience working with structured, semi structured (JSON, Parquet), and unstructured data.
- Strong knowledge of Agile methodologies, version control (Git), and CI/CD practices, Azure DevOps.
- Excellent analytical and problem-solving skills, with the ability to work in highly collaborative and fast paced environments.
- Experience with data testing, understanding requirements, working with product owner.
- Good to have:
o Understanding of AI/ML and Generative AI concepts, including data preparation for AI use cases.
o Exposure to Snowflake Cortex AI, Azure OpenAI, Document Intelligence, or AI-powered document extraction solutions.
More Info
Key Skills
About Company
Providence, one of the US's largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world', Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.
