Lead Data Engineer - Data Engineering

TheLead Data Engineer (DE Lead)plays a pivotal role in managing and fulfilling structured data requests in alignment with organizational policies and regulatory standards. As the primary technical authority, the DE Lead is responsible for extracting, organizing, and securely delivering accurate data, while collaborating closely with Business Analysts to ensure timely and compliant data processing. Core responsibilities include data extraction and reporting using tools such asSQL,SAP Business Objects, andPower BI, developing interactive dashboards, maintaining data integrity, addressing database vulnerabilities, and ensuring strict adherence to privacy standards concerningPersonally Identifiable Information (PII)andProtected Health Information (PHI).

Work Experience:

• 8 years of overall professional experience
• 6+ years in data management
• Preferably withdirect experience in healthcare data analytics or data engineering.
• Strong expertise inSQL
• Proficient inPower BI
• Skilled inPython
• Advanced capabilities inMicrosoft Excel
• Experience withSAP Business Objects
• Data Extraction & Reportingusing SQL, SAP Business Objects, and Power BI
• Dashboard Development: Creating interactive and insightful dashboards
• Data Integrity & Security: Maintaining data accuracy and resolving database vulnerabilities

Education:

• Bachelor s degree in computer science, Information Technology or any other related discipline and equivalent related experience.

Preferred Certifications:

• Advanced Data Analytics Certifications
• AI and ML Certifications
• SAS Statistical Business Analyst Professional Certification

Skills & Knowledge:

Behavioral Skills:

• Conflict Resolution
• Creativity & Innovation
• Decision Making
• Planning
• Presentation Skills
• Risk-taking

Technical Skills:

• Advanced Data Visualization Techniques
• Advanced Statistical Analysis
• Big Data Analysis Tools and Techniques
• Data Governance
• Data Management
• Data Modelling
• Data Quality Assurance
• Machine Learning and AI Fundamentals
• Programming languages like SQL, R, Python

Tools Knowledge:

• Business Intelligence Software like Tableau, Power BI, Alteryx, Qlik Sense
• Data Visualization Tools
• Microsoft Office Suite
• Statistical Analytics tools (SAS, SPSS3)