Senior Data Engineer (Databricks)
Tasks
- Architect scalable infrastructure on AWS
- Automate data delivery and validation
- Build high-performance data pipelines
- Design and evolve data architectures
- Design data models for analytics and machine learning
- Develop ETL processes
- Ensure data security and compliance
- Implement data augmentation
- Integrate APIs for data models
- Monitor performance and test for data integrity
- Optimize large-scale data processing
- Partner with AI ML engineers to identify data sources
- Write SQL queries for data extraction and analysis
Perks/Benefits
- Annual company retreat
- Company-wide winter break
- Education bonus
- Equity participation
- Optional in person events and meetups
- Paid time off
- Tailored career roadmaps
Skills/Tech-stack
API Integration | AWS | Apache Airflow | Apache Spark | Azure | Cassandra | Computer Science | Computer networks | Data Augmentation | Data Modeling | Data Processing | Data Structures | Data Validation | Data Warehousing | Data structures algorithms | Databricks | ETL | GCP | Git | Graph Databases | MongoDB | Neo4j | NoSQL | Object-Oriented | Object-oriented programming | PostgreSQL | Python | Relational databases | SQL | Snowflake | Unstructured Data
Education
N/A
Roles
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