Sr. Data Platform Engineer (US)
Tasks
- Apply machine learning for data insights
- Build and optimize data pipelines
- Build extendable data processing systems
- Design testable maintainable software
- Develop and maintain data pipelines in production
- Extract, analyze, and model datasets
- Incorporate modern data engineering tooling and best practices
- Support data strategy
- Use AI assisted development tools for coding refactoring and prototyping
Perks/Benefits
Skills/Tech-stack
AWS Athena | AWS Batch | AWS Glue | Amazon DynamoDB | Amazon ECS | Amazon Neptune | Amazon RDS | Amazon S3 | Anomaly Detection | Apache Airflow | CircleCI | Classification | Clustering | Data Lakes | Data Warehousing | Data pipeline | Data pipeline observability | Databricks | Distributed Processing | Docker | ELT | ETL | Elasticsearch | GitHub | Infrastructure as Code | Machine Learning | Pandas | Pipeline observability | PostgreSQL | PySpark | Python | Regression | SQL | Summarization | Terraform | “as-code”
Education
N/A
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