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Highly Skilled Data Solutions Architect
3 weeks ago
About This Role:
We are seeking an experienced Senior Data Engineer to join our team. As a key member of the data engineering group, you will be responsible for designing, developing, and implementing high-quality data solutions that meet business needs.
Key Responsibilities:
- Design and implement highly scalable data models and data marts for data ingestion, standardization, and data processing.
- Collaborate with product owners, data analysts, and business partners to improve overall architecture, frameworks, and patterns for processing and storing large data volumes.
- Design and implement distributed data processing pipelines using tools and languages prevalent in the data warehousing ecosystem.
- Develop data validation and audit processes for quality control.
- Implement complex automated routines using workflow orchestration tools.
- Work with geographically diverse teams to identify technical bottlenecks and provide efficient solutions that adhere to unified data model standards.
- Drive the implementation of new data projects and optimize existing solutions.
- Operationalize ML models in production environments in collaboration with ML Scientists.
Requirements:
- 5+ years of experience in engineering, especially data infrastructure and data engineering.
- Strong experience with Python & RDBMS like PostgreSQL, MySQL, and SQL Server.
- Experience with design, development, and implementation of highly scalable, high-volume software systems and components.
- Experience with cloud environments like AWS and Snowflake.
- Familiarity with data warehouse solutions.
- Experience putting ML models through production incorporate environments.
- Experience with data visualization tools and infrastructures.
Perks and Benefits:
- Culturally diverse and entrepreneurial team environment.
- Premium medical, dental, and vision insurance.
- Generous holiday and PTO policies.
- 401k matching program.
- Technology stipends.
- Wellness allowance.
- Training and development opportunities and allowance.
- Flexible remote work.