Senior Data Engineer
Tasks
- Build data ingestion for APIs event streams files and third party sources
- Collaborate with analysts data scientists software engineers and product owners
- Communicate architecture decisions and trade-offs
- Define data engineering standards and best practices
- Design build and manage data pipelines for batch and streaming
- Develop data models and schemas
- Implement data quality lineage observability and automated testing
- Lead architecture reviews and design discussions
- Mentor data engineering team
- Optimize compute storage and transformation layers
- Own data platform architecture
Perks/Benefits
- Career Development Programs
- Flexible work schedule
- Health and wellbeing benefits
- Hybrid work
- Inclusion initiatives
Skills/Tech-stack
AWS | Amazon Kinesis | Apache Airflow | Automated testing | CI/CD | Cloud PubSub | Cloud platform | CloudFormation | Dagster | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Quality | Distributed Computing | ELT | ETL | Google Cloud | Google Cloud Platform | Google Cloud PubSub | Infrastructure as Code | Kafka | Microsoft Azure | Prefect | Python | SQL | Snowflake | Terraform | Version control | “as-code”
Education
N/A
Roles
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