Data Engineer

Key Technical Requirements

• SQL Expertise: Strong knowledge of SQL for complex querying, optimization, and database design. Experience with time-series databases, preferably Timestream.
• Timestream: Hands-on experience in designing, implementing, and managing time-series data in Timestream. Proficiency in defining retention policies, querying, and optimizing time-series data workflows.
• Python Development: Proficiency in Python for data engineering tasks, including integration with client services. Experience with Python libraries such as Pandas, SQLAlchemy, or PySpark for handling data processing and analysis.
• Cloud Services: Deep knowledge of client services related to data engineering such as S3, Lambda, Redshift. Experience with managing data pipelines, security, and automation.
• Database Design & Management: Experience in schema design, performance optimization, and maintenance for both relational and NoSQL databases. Understanding of best practices for cloud-based database management, including backup, disaster recovery, and monitoring.
• Problem Solving & Performance Optimization: Strong troubleshooting skills for performance issues in both data pipelines and databases. Experience with scaling databases and pipelines to accommodate increasing data volume and complexity.

Export Control Requirement

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Ampcus is an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.