Data Engineer with AWS
Tasks
- Build data pipelines for ingestion
- Conduct root cause analysis
- Design data ecosystem
- Design optimize data storage architectures
- Gather analyze model document requirements
- Implement caching strategies
- Integrate and transform data using ETL and ELT
- Model data from multiple sources
- Monitor performance, identify anomalies
- Partition compress index data
- Train mentor junior data engineers
- Troubleshoot high impact data problems
- Tune queries resolve bottlenecks
Perks/Benefits
- Certificate training programs
- Charity donation opportunities
- Flexible working hours
- Internal promotions
- Modern office equipment
- Online onboarding buddy
- Remote work option
- Unlimited Udemy learning access
- Upskilling support
- Well-being activities
- Workation
Skills/Tech-stack
AWS | Amazon Redshift | Amazon S3 | Apache Airflow | BigQuery | Caching | Compression | Confluence | DBT | Data Lakes | Data Modeling | Data Partitioning | Data Warehouses | Dataform | Distributed file systems | ELT | ETL | File systems | Git | Indexing | Jira | NoSQL | Performance Tuning | Python | Query Optimization | SQL
Education
N/A
Roles
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