Senior Data Platform Engineer (Python)
Tasks
- Apply GDPR compliance in pipeline layer
- Build scalable Python data pipelines
- Containerize workloads with Docker
- Contribute to Lakehouse architecture migration
- Enforce data governance and access control
- Implement CI/CD for pipeline deployments
- Ingest data into AWS S3 and warehouses
- Integrate streaming with Kafka
- Maintain data ingestion and validation standards
- Manage infrastructure with Terraform
- Mentor junior engineers through code reviews
- Monitor pipelines and set up alerting
- Orchestrate data ingestion with Apache Airflow
- Process data with Spark and dbt
- Transform and validate data with testing and documentation
Perks/Benefits
Skills/Tech-stack
AWS | Alerting | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | CI/CD | DBT | Data Governance | Data Modeling | Data Quality | Docker | GDPR | Kubernetes | Lakehouse Architecture | Monitoring | Observability | PostgreSQL | Python | SQL | Schema Validation | Terraform
Education
N/A
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