Data Engineer III
Tasks
- Analyze anomalies and trends
- Assemble large complex datasets
- Automate manual data processes
- Build analytical tools for business metrics
- Build data pipelines with AWS and SQL
- Build large dataset engineering pipelines
- Conduct code reviews
- Create and maintain data pipelines
- Develop data pipeline architecture
- Implement data infrastructure improvements
- Operate large-scale data processing pipelines
- Optimize data flow and collection
- Perform data profiling
- Perform data quality analysis
- Perform root cause analysis
- Resolve data processing quality issues
- Support CI/CD and IaC
- Support data-related technical issues for stakeholders
- Translate specs into code and design documents
- Update ETL processes
- Write integration tests
- Write unit tests
Perks/Benefits
Skills/Tech-stack
APIs | AWS Redshift | AWS Step Functions | Agile | Amazon EC2 | Amazon EMR | Amazon RDS | Amazon Web Services | Apache Airflow | Apache Spark | Apache Storm | CI/CD | Cause analysis | Confluence | Data Architecture | Data Augmentation | Data Catalog | Data Governance | Data Quality | Data Streaming | Data analytics | Data profiling | Databricks | ETL | GitHub | Hadoop | Infrastructure as Code | Java | Jira | Metadata | MySQL | PostgreSQL | Python | Root Cause Analysis | Root cause | SQL | SageMaker | Scala | Spark Streaming | Step Functions | Storm | Test-Driven | Test-Driven Development | Unstructured Data | Web Services | “as-code”
Education
N/A
Roles
Data Engineer | Data Pipeline Engineer | Engineer | Pipeline Engineer
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