Lead Data Engineer - Data Engineering

The Lead 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 as SQL , SAP Business Objects , and Power BI , developing interactive dashboards, maintaining data integrity, addressing database vulnerabilities, and ensuring strict adherence to privacy standards concerning Personally Identifiable Information (PII) and Protected Health Information (PHI) .

.Work Experience:

• 8 years of overall professional experience
• 6+ years in data management
• Preferably with direct experience in healthcare data analytics or data engineering.
• Strong expertise in SQL
• Proficient in Power BI
• Skilled in Python
• Advanced capabilities in Microsoft Excel
• Experience with SAP Business Objects
• Data Extraction & Reporting using 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)