Title: Data Engineer Location: Philadelphia, PA Duration: 4 months contract on W2 + High possibility of extension based on your performance.
Job Description: We are looking for a motivated Data Engineer who would help build data pipelines to ingest and transform the data into our Data platform (on-prem/cloud). Candidate should be passionate about Python coding.
Develop and enhance data pipelines, mostly batch (if necessary "streaming " processes)
Apply best approaches for large scale data movement, capture data changes and apply incremental data load strategies.
Build automated test pipelines to ensure data integrity and completion.
Identify and improve current data pipelines through automation and optimization.
Understand and comply with all enterprise and IS departmental information security policies, procedures and standards.
Support the integration of information security in the development, design, and implementation of Hospital Technology Resources that process, transmit, or store information.
Support all compliance activities related to state, federal regulatory requirements, healthcare accreditation standards, and all other applicable regulations that govern the use and disclosure of patient, financial, or other confidential information.
Basic knowledge of structured operational processes, conformance with SLAs, and metrics-based reporting.
Foundational knowledge in Change Control Mgt. processes
Experience with process documentation and communication tools including MS Word, Project, Excel, Visio and PowerPoint.
Basic experience and proven use of one or more of the subject areas listed below:
SQL and Database Knowledge – Understanding SQL, Relational and Multidimensional Databases and Designs
Knowledge of relational database structures (tables, data types, data model schemas), SQL Syntax & SQL Functions, develop Views and SQL Optimization
Moderate experience and proven use of one or more of the subject areas listed below:
Tableau, Qliksense, Power PI, or any other data visualization application.
Data Warehouse Support and Design
Creating/Maintaining Tables, views, & indexes
Proficiency in appropriate Business Intelligence/Data Warehousing technology or subject domain.
Comfortable working in a collaborative environment.
Ability to self-organize one's priorities and schedule.
Have a mindset to perform necessary documentation.
Should be a self-starter to work independently or in a team.
Bachelor's degree in the computer-related field required.
2-4 years of Business Intelligence/Data Warehousing experience, preferably in an academic research (Client Administration) environment.
5+ years of experience with Python
3+ years of experience working with BigData platform, large and complex file types such as XML, JSON, AVRO, PARQUET, ORC, etc.,
Should be comfortable using SQL, Git, JIRA, Docker, CI/CD for testing/deployment.
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