Data Infrastructure Engineer
Tasks
- Build data warehouse data flows
- Collaborate with finance product backend engineering and data science
- Create ELT processes and SQL queries
- Create and optimize data-driven features
- Design data solutions
- Develop data lake pipelines
- Develop data pipelines and analytics
- Follow coding best practices and reusable code
- Implement tools and modern development approaches
- Manage schema changes
- Monitor data platform performance and cost efficiency
- Troubleshoot and debug large-scale systems
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Amazon Web Services | Apache Kafka | Apache Spark | DBT | Data Architecture | Data Lake | Data Modeling | Data Quality | Data Warehousing | Distributed Systems | EC2 | ELT | EMR | ETL | Fault Tolerant ETL | Fault-tolerant | Git | Linux | Python | Redshift | S3 | SQL | Schema management | Snowflake | Source Control | Spark Streaming | Unix | Web Services
Education
N/A
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