Lead\Architect Data Engineer (part-time)

Job Summary:

We are seeking a highly skilled part-time Lead\Architect Data Engineer to design, develop, and optimize our Data Warehouse solutions. The ideal candidate will have extensive experience in ETL/ELT development, data modeling, and big data technologies, ensuring efficient data processing and analytics. This role requires strong collaboration with Data Analysts, Data Scientists, and Business Stakeholders to drive data-driven decision-making. 

Key Responsibilities: 

• Design, develop, and maintain scalable data warehouse solutions.

• Build and optimize ETL/ELT pipelines for efficient data integration.

• Design and implement data models to support analytical and reporting needs.

• Ensure data integrity, quality, and security across all pipelines.

• Optimize data performance and scalability using best practices.

• Work with big data technologies such as  Redshift.

• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.

• Implement CI/CD pipelines for data workflows.

• Monitor, troubleshoot, and improve data processes and system performance.

• Stay updated with industry trends and emerging technologies in data engineering.

   

Required Qualifications: 

• 7+ years of experience in Data Engineering field and at least 1+ years of experience as Lead\Architect.

• Strong expertise in SQL and data modeling concepts.

• Hands-on experience with Airflow.

• Experience working with Redshift.

• Proficiency in Python for data processing.

• Strong understanding of data governance, security, and compliance.

• Experience in implementing CI/CD pipelines for data workflows.

• Ability to work independently and collaboratively in an agile environment.

• Excellent problem-solving and analytical skills.