Data Engineer I or II
USD 103K-145K (estimate) Senior-level Full Time
Tasks
- Build ELT pipelines
- Build ETL pipelines
- Design data infrastructure
- Develop data pipelines
- Ensure GDPR compliance
- Ensure data quality
- Evaluate new data tools
- Implement access controls
- Integrate data from multiple sources
- Maintain data pipelines
- Manage databases
- Monitor data quality
- Monitor pipeline health
- Optimize data pipeline performance
- Optimize database queries
- Orchestrate data workflows
- Process batch data
- Process real-time data
- Secure sensitive data
- Validate and cleanse data
Perks/Benefits
Skills/Tech-stack
AWS Lambda | AWS S3 | Amazon Redshift | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Azure Data | Azure Data Lake | Azure Lakehouse | Azure Resource | Azure Resource Manager | Azure SQL | Azure SQL Database | CCPA | CI/CD | Cassandra | Data Lake | Data Warehouse | Databricks | Docker | ELT | ETL | Encryption | GDPR | Google BigQuery | Indexing | Infrastructure as Code | Java | Jenkins | Kubernetes | Microsoft Fabric | MongoDB | NoSQL | Oracle | Partitioning | Python | Query Optimization | Resource manager | SQL | SQL Database | SSAS | SSIS | Snowflake | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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