Data Engineer, PXT Central Science
Tasks
- Build automated reporting solutions
- Build batch and real time inference pipelines
- Build monitoring and error handling
- Create flexible schemas for evolving requirements
- Design and maintain scalable data pipelines
- Develop and maintain APIs for data serving
- Develop feature extraction and processing frameworks
- Enhance data architecture
- Implement data quality validation checks
- Maintain layered data systems
- Optimize performance, reliability, and cost efficiency
- Perform technical design reviews and architecture discussions
- Translate analytical requirements into production ready solutions
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
API Development | AWS Glue | AWS Lambda | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon S3 | Apache Hadoop | Apache Hive | Apache Kafka | Apache Spark | Batch Processing | Column family) | Column-family databases | Data Modeling | Data Quality | Data Quality Validation | Data Warehousing | Document Databases | ETL | Firehose | Graph Databases | IAM | JavaScript | Key-Value Stores | Key-value | Node.js | Non-relational | Non-relational Databases | Python | Quality validation | Real Time | Real-time Processing | Relational databases | Scala | Schema Design | Time processing | Value Stores
Education
N/A
Roles
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