Data Engineer
Tasks
- Build data pipelines
- Collaborate with stakeholders
- Design ETL/ELT workflows
- Develop cloud data solutions
- Implement data streaming pipelines
- Integrate data via REST
- Maintain data quality and governance
- Manage CI/CD infrastructure
Perks/Benefits
- Career development
- Company laptop
- Knowledge sharing
- Mentorship
- Mobile phone plan
- Team social activities
Skills/Tech-stack
API Management | AWS Glue | AWS Redshift | Amazon EMR | Amazon Kinesis | Amazon S3 | Apache Airflow | Apache Kafka | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure DevOps | Azure Event | Azure Event Hubs | Azure Functions | Azure Synapse | Azure Synapse Analytics | Bash | Data Factory | Data Lake | Data Lineage | Data Management | Data Vault | Databricks | Dimensional Modeling | Docker | Event Hubs | Git | Google BigQuery | Google Dataflow | GraphQL | Inmon | Java | Kimball | Kubernetes | Logic Apps | Master Data | Master Data Management | Metadata Management | Oracle | PostgreSQL | Powershell | Python | REST | SQL Server | SSIS | Scala | Snowflake | Synapse Analytics | Terraform
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
Roles
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