Senior Data Platform Engineer
Tasks
- Architect unified data platform
- Build ETL/ELT pipelines
- Create Snowflake data pipelines
- Design event-driven architecture
- Develop data lakehouse using Iceberg
- Enforce data governance, quality, and security
- Implement data presentation layer for analytics
- Implement single source of truth
- Integrate natural language querying with generative AI
- Lead development lifecycle including deployment monitoring
- Migrate domains off legacy middleware
- Optimize data models for warehousing
Perks/Benefits
Skills/Tech-stack
Airflow | Amazon Bedrock | Amazon S3 | Apache Iceberg | Cloud Pub/Sub | DBT | Data Governance | Data Modeling | Data Quality | Data Security | Distributed Systems | Docker | Domain-Driven Design | ELT | ETL | Event Driven | Event-driven architecture | Generative AI | Google Cloud | Google Cloud Pub/Sub | Infrastructure as Code | Java | Kafka | Kubernetes | Medallion Architecture | Natural Language | Natural Language Querying | Pub/Sub | Python | RabbitMQ | SQL | Scala | Schema evolution | Serverless computing | Snowflake | Snowflake Streams | Snowpipes | Stored Procedures | Table Functions | User Defined Functions | User Defined Table Functions | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Regions
Countries
States
Cities
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