Data Engineer
Hartford-Farmington Ave Atrium, United States
USD 79K-158K Mid-level Full Time
Tasks
- Build data integration solutions using APIs and event driven architectures
- Build high throughput streaming data solutions
- Collaborate with stakeholders to deliver data solutions
- Create documentation design artifacts and runbooks
- Design and deploy cloud native data products
- Design batch and real-time data pipelines
- Develop data lake and data warehouse solutions
- Develop ingestion transformation and orchestration frameworks
- Implement data governance access controls lineage tracking auditing and encryption
- Implement data modeling using star schema and snowflake schema
- Implement observability and automated recovery
- Monitor troubleshoot and optimize data pipelines and infrastructure
- Optimize partitioning clustering indexing and storage
- Participate in Agile and SAFe delivery
Perks/Benefits
- Dental insurance
- Medical insurance
- Paid time off
- Retirement savings options
- Vision insurance
- Wellness programs
Skills/Tech-stack
Apache Airflow | Apache Beam | Apache Kafka | Apache NiFi | Apache Spark | BigQuery | CI/CD | Cloud Composer | Cloud Functions | Cloud Monitoring | Cloud Run | Cloud Storage | Cloud logging | Cloud platform | Collation and Lineage | Collibra | Data Quality | Data quality monitoring | Dataflow | Encryption | GDPR | Git | GitHub Actions | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | HIPAA | Infrastructure as Code | PCI DSS | Privacera | PubSub | PySpark | Python | Quality monitoring | SQL | Snowflake | Snowflake Schema | Star Schema | Terraform | Unity Catalog | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Regions
Countries
States
Cities
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