Data Engineer
Tasks
- Build and optimize Databricks data processing pipelines
- Build ingestion workflows from databases APIs and event streams
- Build modular data models with dbt
- Containerize services with Docker and Kubernetes
- Design scalable ETL/ELT pipelines
- Document pipelines data models and data dictionaries
- Implement full load incremental load and CDC
- Maintain data quality observability and reliability
- Manage data connectors with Airbyte
- Orchestrate data workflows with Apache Airflow
- Use AWS services for data workflows
- Write and optimize SQL queries
Perks/Benefits
- Allowance for certification and skill development
- Career coaching sessions
- Flexible hours
- Paid time off
- Performance-based rewards
- Remote-friendly
- 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 | CDC | DBT | Data Modeling | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Docker | ELT | ETL | Full Load | Incremental load | Kubernetes | PySpark | Python | SQL | Schema evolution | Spark SQL | Streaming | Time Travel
Education
N/A
Roles
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