Data Engineer III - Data Engineering

Models and frames business scenarios that are meaningful and which impacts critical business processes and/or decisions

Collaborates with subject matter experts to select relevant sources of information, translates business requirements into semantic access, conceptual, logical and/or physical data models
Executes data profiling and preventative procedures to improve data quality; uses technology to extract and analyze raw data
Identifies opportunities and supports the development of automated solutions that will enhance the quality of enterprise data
Codes, tests, debugs and documents complex programs, and enhances existing programs to ensure that data processing production systems continue to meet user requirements
Works to develop the specifications of customer and user specific reports including network exclusions, special circumstances, and custom data elements
Identifies complex areas to solve new technical problems and provides innovative technical solutions within data management platform

When assigned, analyzes data platform to identify areas of improvement and provides innovative technical solutions to optimize and improve performance.

Additional Job Description

EDUCATIONAL QUALIFICATIONS:

Bachelor s degree in Computer Science, Information Technology or any other related discipline or equivalent related experience.

Preferred Certifications:
Data Analytics Certifications

Data Management/Engineering Certifications in MS Azure, Databricks etc
Any BI Tool (PowerBI, Qlik Sense, Tableau etc) Certifications

WORK EXPERIENCE:
4-6 years of directly related or relevant experience, preferably in healthcare data analytics or data engineering/data management using cloud/on-prem technologies such as MS Azure , (Databricks, Synapse, ADF, Logic Apps), MS SQL (SSIS, SSRS)

SKILLS & KNOWLEDGE:

Behavioral Skills:
Assertiveness

Communication Skills (Both verbal and written)
Creativity & Innovation
Critical Thinking
Impact and Influencing
Multitasking
Prioritization and Organization

Technical Skills:
Advanced Data Visualization Techniques
Data Engineering, building data pipelines using both cloud and on prem technologies

Building Datawarehouse/Data marts /Data Lakes
Big Data Analysis Tools and Techniques
Data Governance
Data Management
Data Modelling
Data Quality Assurance
Programming languages like SQL, R, Python

Tools Knowledge:
Data Engineering/Data Management tools like Databricks and related technologies, MS Azure Synapse, ADF, Logic Apps, MS SSIS

Business Intelligence Software like Power BI, Tableau, QlikSense
Data Visualization Tools
Microsoft Office Suite

EDUCATIONAL QUALIFICATIONS:

Bachelor s Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience.

Preferred Certifications:
Advanced Data Analytics Certifications
SAS Statistical Business Analyst Professional Certification

WORK EXPERIENCE:
4+ years of directly-related or relevant experience, preferably in healthcare data analytics or data engineering.

SKILLS & KNOWLEDGE:

Behavioral Skills:
Critical Thinking
Detail Oriented
Impact and Influencing
Interpersonal Communication
Multitasking
Problem Solving
Time Management

Technical Skills:
Advanced Data Visualization Techniques
Advanced Statistical Analysis
Big Data Analysis Tools and Techniques
Data Governance
Data Management
Data Modelling
Data Quality Assurance
Programming languages like SQL, R, Python

Tools Knowledge:
Business Intelligence Software like Tableau, Power BI, Alteryx, QlikSense
Data Visualization Tools
Microsoft Office Suite
Statistical Analytics tools (SAS, SPSS3)