Data Engineer
Indexed description
- 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.
- 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.
- 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.
- Deep knowledge of client services related to data engineering such as S3, Lambda, Redshift.
- Experience with managing data pipelines, security, and automation.
- 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.
- 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.
- 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.
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, age, protected veterans or individuals with disabilities.
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