Data Engineer
A USD 120K-151K (estimate) Senior-level Full Time
Tasks
- Build AWS based data pipeline workflows
- Build ingestion workflows
- Build transformation layers with dbt
- Design and build data pipelines
- Design and operate data migration workflows
- Develop data processing jobs
- Document data flows and source-to-target mappings
- Maintain data quality observability and alerting
- Orchestrate workflows with Apache Airflow
- Transform semi structured and NoSQL data to relational models
Perks/Benefits
- Career coaching
- Certification allowance
- Collaborative team culture
- Flexible hours
- Paid time off
- Performance rewards
- Remote-friendly culture
- Skill development
- Work equipment support
- Year-end bonus
Skills/Tech-stack
AWS DMS | AWS Glue | AWS IAM | AWS Lambda | Airbyte | Amazon EC2 | Amazon Kinesis | Amazon RDS | Amazon S3 | Amazon SQS | Apache Airflow | CDC | CI/CD | DBT | Data Contracts | Data Quality | Databricks | Deduplication | Docker | ELT | ETL | GitHub Actions | GitLab CI | Great Expectations | Idempotency | Incremental loading | Infrastructure as Code | Kubernetes | MongoDB | Observability | PostgreSQL | PySpark | Python | Relational modeling | SQL | Schema Design | Soda | Spark SQL | Terraform | Test-Driven | Test-Driven Development | Unity Catalog | “as-code”
Education
N/A
Roles
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