Data Engineer
Washington, DC
USD 93K-176K Senior-level Full Time
Tasks
- Build cloud native data solutions with AWS
- Build data ingestion workflows
- Collaborate with Data Science and Business teams
- Contribute to data governance security and automation
- Design end-to-end data pipelines
- Develop data transformation workflows
- Implement data validation monitoring and observability
- Integrate data sources into unified datasets
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS Glue | AWS Lambda | Agile | Amazon Redshift | Amazon S3 | Apache NiFi | Apache Spark | Azure Data | Azure Data Factory | Cloud Dataflow | Data Factory | Data Quality | Data Validation | Data orchestration | Database Integration | Databricks | Docker | ELK Stack | Elasticsearch | Google BigQuery | Google Cloud | Google Cloud Dataflow | Hadoop | Kubernetes | Monitoring | Observability | PySpark | Python | SQL | Scrum | Snowflake
Education
N/A
Roles
Architect | Data Engineer | Data Pipeline Architect | Engineer
Regions
Countries
States
Language: en
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