Data Engineer
Tasks
- Build dbt transformation layers
- Build ingestion workflows
- Convert semi structured and NoSQL data into models
- Design and build production data pipelines
- Design and operate data migration workflows
- Develop data processing jobs
- Document data flows and operational runbooks
- Implement AWS based data pipelines
- Maintain data quality and observability
- Manage connectors with Airbyte
- Orchestrate workflows with Airflow
Perks/Benefits
- Allowance for certification and skill development
- Career coaching
- Collaborative team culture
- Flexible hours
- Hybrid Remote
- Paid leave
- Work equipment support
- Year-end bonus
Skills/Tech-stack
AWS | AWS DMS | AWS IAM | AWS Lambda | Airbyte | Amazon EC2 | Amazon Kinesis | Amazon RDS | Amazon S3 | Amazon SQS | Apache Airflow | CDC | DBT | Data Migration | Data Modeling | Data Quality | Data Reconciliation | Databricks | ELT | ETL | Idempotency | MongoDB | PostgreSQL | PySpark | Python | SQL | Schema Design | Spark SQL
Education
N/A
Roles
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