Vacancy expired!
TITLE: Sr. Data Engineer- Remote
Location: Remote Do you get excited when your users get the data they need? Are you experienced across cloud, on-premises, platforms, and technologies? Do you love getting direction, then getting to work and iterating through a solution? This role is for a Senior Data Engineer. This person will design, develop, and support solutions to transport, store, and analyze our analytical data. What You'll Do:- General
- Create data architecture, pipelines, and analytical solutions to meet software and data science requirements for various PG Healthcare Products
- Build out infrastructure, create custom solutions, and leverage industry tools to accomplish project and ad-hoc objectives
- Identify and implement improvements for data reliability, efficiency and quality
- Identify, evaluate, select, and prove out new technologies and toolsets
- Create and execute Proofs of Concept and Proofs of Technology
- Building Data Pipelines
- Build, extend, or leverage solutions to acquire, transform, and store data for use in analytical context
- Analyze and improve performance, scalability, and fault tolerance
- Cloud Compute and Data Lake
- Use large data sets to solve business problems
- Leverage analytical skills with unstructured or minimally structured datasets
- Build solutions using massively parallel processing cloud technologies (i.e., Databricks)
- Use appropriate languages to assemble and analyze datasets
- Data Storage Design
- Collaborate with software development, business teams, and data scientists to establish data storage, pipeline, and structure requirements
- Identify and plan for data storage performance requirements
- Application Interface and Data Storage Implementation
- Collaborate with software development, business teams, and data scientists to create and execute implementations
- Identify impact of implementation on other applications and databases
- Lead and mentor data engineers on data projects
- Master Data Management and Data Governance
- Assist team to build and evolve Trusted Record systems to manage entities across the enterprise
- Design, implement, and evolve solutions around person identity management
- Data Wrangling
- Identify patterns in data
- Client opportunities to automate and optimize tasks
- Perform root cause analysis and remediate data issues
- Mentorship
- Identify areas of development and need
- Provide targeted training and exploration for team members
- Train and mentor data engineers on standards and best practices
- Demonstrated knowledge of Azure data technologies (Databricks, ADF, Stream Analytics, ADLS, Synapse), on-premises Microsoft tools (SQL DB and SSIS), and familiar with AWS data technologies
- Fluent in SQL and Python, and familiar with PowerShell, and APIs
- Significant experience with analytical solutions in relational databases such as MS SQL Server, Oracle, and DB2 as well as experience with NoSQL databases and solutions such as data lakes, document-oriented databases, and graph databases
- Skill in data modeling and experience (ex. Tools like ER/Studio, Erwin, or other)
- Candidate will have great communication skills both verbal and writing at a team and leadership level
- Preferred experience with major EHR and data-exchange technologies (i.e., HL7, FHIR)
- Preferred experience with person identity management and entity resolution processing.
- Preferred experience in Data Science - statistical analysis and machine learning
- Minimum of 5 years Information Management experience in an enterprise environment
Vacancy expired!