Data Engineer
USD 140K-160K (estimate) Mid-level Full Time
Tasks
- Build data architectures
- Contribute to proofs-of-concept
- Design ETL/ELT pipelines
- Implement data quality lineage observability security
- Integrate cloud data processing services
- Mentor junior engineers
- Optimize pipeline and storage performance cost
- Orchestrate data pipelines
- Support platform migrations and modernization
- Translate business requirements into technical designs
Perks/Benefits
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid sick time
- RRSP savings plan
- Remote work enabled
- Training and professional development
- Work-life balance
Skills/Tech-stack
Amazon EMR | Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Spark | Azure Data | Azure Data Factory | Azure Synapse | BigQuery | CI/CD | Cloud PubSub | DBT | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Observability | Databricks | Deployment Automation | Docker | ELT | ETL | GitHub | GitLab | Google Cloud | Google Cloud PubSub | Infrastructure as Code | Java | Kafka | Kafka Streams | Kubernetes | MLOps | Machine Learning | Microsoft Azure | Microsoft Azure Synapse | Prefect | Presto | Python | SQL | Scala | Schema Design | Snowflake | Terraform | Testing | Version control | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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