Lead\Architect Data Engineer Offline
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.
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