Senior Data Engineer
Tasks
- Build and optimize data pipelines
- Collaborate with cross-functional teams
- Design scalable data platforms
- Develop data models and data warehouses
- Ensure data quality, governance, and lineage
- Implement ETL and ELT workflows
- Implement cloud-native data architectures
- Lead data engineering initiatives
- Mentor junior engineers through code reviews
- Monitor troubleshoot and resolve production data issues
- Optimize database performance and query execution
- Present technical designs and architecture diagrams
- Secure data and manage access control
- Transform raw data into datasets
Perks/Benefits
- 401k employer match
- Employee assistance program
- Flexible PTO
- Health, dental, and vision insurance
- Paid parental leave
- Remote work
Skills/Tech-stack
AWS | AWS CloudFormation | AWS Step Functions | Access Control | Agile | Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Kafka | Apache Spark | Azure Data | Azure Data Factory | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | CI/CD | Cloud platform | DBT | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data Security | Data Warehousing | Database optimization | Databricks | Dimensional Modeling | Docker | ELT | ETL | Encryption | Event Hubs | Git | Google BigQuery | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Kubernetes | Looker | Metadata Management | Microsoft Azure | MySQL | NoSQL | Oracle | PostgreSQL | Power BI | Prefect | Python | SQL | SQL Server | Scala | Schema Design | Snowflake | Step Functions | Synapse Analytics | Tableau | Terraform | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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