Data Engineer
Washington, D.C., USA, 20171
USD 101K-157K (estimate) Mid-level Full Time
Tasks
- Build data pipeline workflows for batch and streaming
- Create documentation and standard operating procedures
- Design data pipelines with ETL/ELT
- Develop dimensional data models
- Execute User Acceptance Testing (UAT)
- Implement SQL based dataset processing
- Maintain data quality reviews
- Manage AWS GCP Azure data platform infrastructure
- Perform EOFY data engineering activities
- Protect sensitive data with security controls
- Provide ad hoc after hours support
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Amazon Redshift | Apache Kafka | Apache Spark | Azure | Azure Data | Azure Data Factory | BigQuery | Data Cataloging | Data Factory | Data Lake | Data Modeling | Data Quality | Data Warehouse | Databricks | Dataflow | ELT | ETL | Event Hubs | GCP | Metadata Management | PubSub | Python | R | S3 | SQL | Serverless | Snowflake Schema | Star Schema | Synapse Analytics
Education
Roles
Regions
Countries
States
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