Senior Data Engineer
Tasks
- Automate pipeline execution
- Build data platform
- Build datasets for AI model training and evaluation
- Build scalable warehouse architecture
- Create governed source of production data
- Define role based access policies
- Design CDC pipelines
- Design ELT pipelines
- Design HIPAA aligned data architecture
- Establish data reliability standards
- Implement PHI restrictions
- Implement data anonymization
- Implement data deletion workflows
- Implement data monitoring and alerting
- Implement row and column level access controls
- Ingest data into data warehouse
- Ingest data into lakehouse
- Manage data orchestration
- Partner on data quality for ML
- Support product analytics datasets
- Transform data with DBT
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS IAM | AWS Lambda | Access Control | Amazon Kinesis | Amazon S3 | Apache Airflow | Apache Iceberg | CDC | Column-Level Security | DBT | Dagster | Data Catalogs | Data Governance | Data Quality | Data Reliability | Data Warehousing | Data anonymization | Data deletion | Data deletion workflows | ELT | HIPAA | Lakehouse | MariaDB | MongoDB | Orchestration | Phi | PostgreSQL | Python | Role-Based Access | Role-Based Access Control | Row Level Security | SQL | Snowflake
Education
N/A
Roles
Regions
Countries
States
Cities
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