Data Engineer, Specialist
USA - Majestic, United States
R
USD 95K-120K (estimate) Mid-level Full Time
Tasks
- Build ETL processes
- Conduct regression testing
- Create job aids
- Deploy software releases to production
- Design data pipelines
- Design database systems
- Design training sessions
- Develop real time and batch analytics tools
- Engage with vendors to resolve issues
- Ensure data integrity
- Ensure data pipeline scalability
- Ensure data pipeline security
- Explain technical considerations
- Generate reports
- Integrate large scale data sources
- Lead solution development phases
- Optimize data availability
- Provide code documentation
- Provide data analysis guidance
- Review deliverables with clients
- Test data quality
- Translate business requirements to designs
- Troubleshoot data consistency
- Write complex programs and queries
- Write maintainable reusable code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Redshift | Apache Kafka | Apache Spark | Azure Synapse | Cassandra | Cloud Native | Cloud native ETL | Data Modeling | Data Pipelines | Data Quality | ETL | Google BigQuery | Hadoop | MongoDB | MySQL | NoSQL Databases | PostgreSQL | Python | Regression testing | Relational databases | SQL | Scala
Education
Roles
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