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.

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