| Skill or Category | Mandatory/
Non-Mandatory | Evaluation Focus | Minimum Rating Scale (0-5) |
| Cloud-Native Data Engineering | Mandatory | Experience in cloud-native data engineering including Snowflake, Azure, Matillion, DBT ETL tools | |
| ETL Pipeline Development | Mandatory | Ability to design, develop, and deliver ETL pipelines to process healthcare data | |
| Data Modeling | Mandatory | Experience in data modeling for Data Warehouse in Snowflake | |
| Healthcare Payor Domain | Mandatory | Experience in healthcare payor domain with focus on data governance, HIPAA compliance and healthcare-related data processing | |
| Leadership Skills | Mandatory | Ability to mentor junior engineers and collaborate with diverse teams and stakeholders | |
| HIPAA Compliance | Mandatory | Understanding of HIPAA compliance requirements for healthcare data security, privacy and regulatory standards | |
| Data Warehouse Solutions | Mandatory | Experience in designing, implementing, and optimizing data warehouse solutions | |
| Cross-functional Collaboration | Non-Mandatory | Ability to work closely with cross-functional teams to ensure alignment on data requirements | |
Machine Learning and
AI Applications | Non-Mandatory | Experience in machine learning and AI applications in healthcare | |
| Additional Cloud Platforms and ETL Tools | Non-Mandatory | Experience with other cloud platforms and ETL tools | |
| Advanced Certifications | Non-Mandatory | Possession of advanced certifications in data engineering or related fields | |
As a
Lead Matillion Data Engineer you will spearhead the design, development, and implementation of ETL pipelines for processing healthcare data. Your role is pivotal in ensuring efficient, scalable, and high-performance data solutions that maintain consistency and quality. You will collaborate with cross-functional teams to align data requirements and mentor junior engineers, contributing significantly to the company's data-driven strategies and objectives.
DETAILED RESPONSIBILITIES - Lead the design, development, and delivery of ETL pipelines to process healthcare data.
- Ensure efficient, scalable, and high-performance solutions with data consistency and quality.
- Work closely with cross-functional teams, including data architects, analysts, and business stakeholders to ensure alignment on data requirements.
- Mentor junior engineers and team members.
- Address and resolve issues related to ELT processes, ensuring minimal disruptions and maintaining data integrity.
- Collaborate with the client department to understand their data needs and provide solutions.
- Participate in the development, testing, and enhancement of data engineering processes.
SKILL REQUIREMENTS - Minimum 8+ years of experience in cloud-native data engineering, including 3-5 years with Snowflake, Azure, Matillion, DBT ETL tools.
- Experience in data modeling for Data Warehouse in Snowflake.
- Hands-on experience in designing and developing ELT processes.
- At least 3-5 years of experience working in the healthcare payor domain, with a focus on data governance, HIPAA compliance, and healthcare-related data processing.
- Proven experience in designing, implementing, and optimizing data warehouse solutions.
- Strong leadership skills with the ability to mentor and collaborate with diverse teams and stakeholders.
- Strong understanding of HIPAA compliance requirements for healthcare data security, privacy, and regulatory standards.
OTHER REQUIREMENTS (OPTIONAL) - Experience with other cloud platforms and ETL tools.
- Advanced certifications in data engineering or related fields.
- Experience in machine learning and AI applications in healthcare.
- Familiarity with other healthcare regulations and standards beyond HIPAA.