Data Engineer
USD 100K-150K (estimate) Mid-level Full Time
Tasks
- Build ETL pipelines
- Collaborate with stakeholders
- Design data pipelines
- Develop data models and schemas
- Document data pipelines and workflows
- Implement data quality checks
- Integrate data from databases APIs and streaming sources
- Manage data infrastructure
- Monitor data quality
- Optimize data pipelines
- Optimize query performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Redshift | Apache Flink | Apache Spark | Azure | Azure SQL | Azure SQL Data | Azure SQL Data Warehouse | Caching | Cassandra | Data Lakes | Data Modeling | Data Quality | Data Warehouse | Data Warehousing | Data quality monitoring | Distributed Computing | ETL | Google BigQuery | Google Cloud | Hadoop | Indexing | Java | MongoDB | MySQL | NoSQL | Partitioning | PostgreSQL | Python | Quality monitoring | SQL | SQL Data Warehouse | Scala
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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