Data Engineer II - General Motors Insurance
Tasks
- Automate development deployment and monitoring
- Code test deploy monitor and troubleshoot data processing pipelines
- Define data engineering processes and procedures
- Develop end to end solutions using core data technologies
- Document scalable data engineering and analytic systems
- Evaluate batch and streaming data engineering technologies
- Extract features for machine learning and analytics
- Ingest and format data from external and internal sources
- Research experimentation for data engineering
Perks/Benefits
- 401k matching
- Bonding Leave
- Community service pay
- Flexible remote work environment
- Health benefits on day one
- Nine company holidays
- Training
- Tuition assistance
Skills/Tech-stack
AWS | AWS CloudFormation | Agile | Artifactory | As-a-Service | Atlan | Azure | Azure DevOps | Azure Resource | Azure Resource Manager | CSV | Continuous Deployment | Continuous integration | CosmosDB | Data Governance | Data Lake | Data Privacy | ETL | Flume | GCP | GDPR | Git | HDFS | Hadoop | Hybrid Cloud | Immuta | Infrastructure as a Service | JSON | Kafka | MongoDB | NoSQL | Object storage | Parquet | Platform as a Service | Pulsar | Python | REST APIs | Resource manager | SAFe | SQL | Scrum | SequenceFile | Software as a Service | SonarQube | Spark | Subversion | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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