Data Engineer
A USD 120K-140K (estimate) Senior-level Full Time
Tasks
- Build ELT pipelines
- Build data processing pipelines with Databricks
- Build dbt data models
- Design scalable ETL pipelines
- Develop data ingestion workflows
- Document data pipelines and models
- Implement CDC processing
- Implement incremental loading
- Maintain data quality and observability
- Manage ingestion connectors with Airbyte
- Optimize SQL query performance
- Orchestrate data workflows with Airflow
- Test dbt transformations
- Use AWS services for data platform
- Write SQL queries for analytics
Perks/Benefits
- Certification allowance
- Flexible hours
- Hybrid remote work
- Paid leave
- Performance-based rewards
- Skill development
- Work equipment support
- Year-end bonus
Skills/Tech-stack
AWS | AWS IAM | AWS Lambda | Airbyte | Amazon EC2 | Amazon EKS | Amazon S3 | Apache Airflow | Batch Processing | CI/CD | Change Data Capture | Complex SQL | DBT | Data Capture | Data Engineering | Data Governance | Data Observability | Data Quality | Databricks | Databricks Lakehouse | Delta Lake | Delta Live Tables | Delta Live) | Docker | ELT | ETL | Infrastructure as Code | Ingestion pipelines | Kubernetes | PySpark | Query Optimization | SQL | Spark SQL | Streaming processing | Terraform | “as-code”
Education
N/A
Roles
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