Data Engineer
Tasks
- Build and optimize data processing pipelines with Databricks Lakehouse
- Build dbt data models and tests
- Build ingestion workflows from databases APIs event streams
- Containerize data services with Docker and Kubernetes
- Deploy and manage AWS based data services
- Design ETL/ELT pipelines
- Document pipelines data models and data dictionaries
- Implement full load incremental load CDC
- Maintain data quality observability reliability
- Manage data connectors with Airbyte
- Orchestrate data workflows with Apache Airflow
- Write and optimize SQL queries
Perks/Benefits
- Async teamwork
- Career coaching
- Certification allowance
- Flexible hours
- Paid leave
- Remote-friendly culture
- Skill development allowance
- Work equipment support
- Year-end bonus
Skills/Tech-stack
AWS EC2 | AWS IAM | AWS Lambda | AWS S3 | Airbyte | Amazon EKS | Amazon Web Services | Apache Airflow | CDC | DBT | Data Observability | Data Pipelines | Data Quality | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Docker | ELT | ETL | Kubernetes | PySpark | SQL | Spark SQL | Test automation | Web Services
Education
N/A
Roles
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