Data Engineer
Tasks
- Build entity resolution and record linkage logic
- Create technical documentation and runbooks
- Deliver feature ready datasets
- Design and implement dbt data models
- Develop data quality frameworks and tests
- Implement anonymization and pseudonymization processes
- Optimize Spark processing jobs
- Orchestrate production pipelines with Airflow or AWS Step Functions
- Profile reconcile and harmonize source schemas
- Rebuild and validate data pipelines
Perks/Benefits
- Autonomy
- Direct collaboration with data science and engineering leadership
- Exposure to modern AWS architecture
- International collaborative environment
- Remote-friendly working arrangements
Skills/Tech-stack
AWS | AWS Glue | AWS Step Functions | Amazon Athena | Amazon EMR | Amazon Redshift | Amazon S3 | Anonymization | Apache Airflow | Apache Spark | DBT | Data Governance | Data Lineage | Data Quality | Deduplication | Entity Resolution | File Formats | Great Expectations | Partitioning | Pseudonymization | Python | Record Linkage | SQL | Step Functions
Education
N/A
Roles
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