Job Description
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CORE JOB SUMMARY
At HealthyMD Inc, cloud computing continues to allow us to modernize and consolidate IT infrastructure, automate workloads, and pursue next-generation innovation. The Data Engineer will be responsible for expanding, optimizing and streamlining our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The Data Engineer must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Summary
CORE JOB SUMMARY
At HealthyMD Inc, cloud computing continues to allow us to modernize and consolidate IT infrastructure, automate workloads, and pursue next-generation innovation. The Data Engineer will be responsible for expanding, optimizing and streamlining our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The Data Engineer must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Core Job Functions
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS ‘big data’ technologies
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Work with data and analytics experts to strive for greater functionality in our data systems
This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
Education
CORE QUALIFICATIONS
Bachelor’s degree in computer science, Statistics, Informatics, Information Systems or another quantitative field
Certification And Licensing
Azure certifications are a plus
Experience
5+ years of experience working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
Experience working and managing data, data pipelines and data mobilization using Databricks
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management
A successful history of manipulating, processing and extracting value from large, disconnected datasets
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
Experience supporting and working with cross-functional teams in a dynamic environment
Experience with Azure cloud services:
Azure blob storage
Azure database services for MySQL
Azure database service for SQL
Azure Data Factory
Power BI
Knowledge, Skills And Attitudes
Excellent verbal and written communication skills with ability to interpret data essential.
Ability to function independently, attend to detail, work under pressure, and prioritize multiple projects.
Strong Knowledge of ITIL/ITSM, DevSecOps
Knowledge of web services, API, REST, and RPC, Python, SQL
Requirements
PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT
The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Working Conditions
Environmental Dimension
Never
Occasionally
Frequently
Constantly
Conditions of extreme heat or extreme cold
X
Wet/Humid conditions
X
Fumes/Dust/Dirt/Smoke
X
Confined areas
X
High places
X
Equipment in motion
X
High noise levels
X
Environmental hazards
X
Exposure to TB
X
Exposure to Blood-borne Pathogens
X
Exposure to Radiant Energy
X
Outdoor/Exposed areas
x
Equipment Used
Equipment Used
Never
Occasionally
Frequently
Constantly
Vehicle Type
Operate vehicles (Select Vehicle)
X
Use hand tools
X
Use power tools
X
Physical Requirements
Physical Dimension
Never
Occasionally
Frequently
Constantly
Weight
Sitting
X
Standing
X
Walking
X
Stooping/Climbing
X
Carrying
X
Kneeling
X
Crouching
X
Bending
X
Crawling
X
Reaching
X
Handling
X
Sensory Requirements
Sensory Dimension
Never
Occasionally
Frequently
Constantly
Vision Type
Vision
X
Depth Perception
X
Color Vision
X
Peripheral
X
Concentration
X
Use of keyboard or touchscreen
X
Talking
X
Feeling
X
Smelling
X
The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This a job profile description and not all duties may be assigned to a specific position in each individual department.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Information Technology
Industries Medical Practices
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Job Tags
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