Senior Data Engineer
Tasks
- Build scalable data pipelines
- Collaborate with analysts data scientists and product owners
- Create automated testing frameworks
- Define data engineering standards
- Design data platform architecture
- Develop data models and schemas
- Implement data quality lineage and observability
- Ingest data from APIs event streams files and third party sources
- Lead architecture reviews and design discussions
- Manage batch streaming and event driven workloads
- Mentor data engineering team
- Optimize compute and storage cost and performance
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Automated testing | Azure | CI/CD | CloudFormation | Dagster | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data orchestration | DataOps | Distributed Computing | ELT | ETL | GCP | Infrastructure as Code | Kafka | Kinesis | Observability | Prefect | PubSub | Python | SQL | Security | Snowflake | Terraform | Version control | “as-code”
Education
N/A
Roles
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