Data Engineer
USD 115K-160K (estimate) Senior-level Full Time
Tasks
- Align solutions to business needs
- Apply data security controls
- Build ETL processes
- Coordinate cross-functional delivery
- Create production support and deployment artifacts
- Decompose stories and prioritize tasks
- Design end-to-end data pipelines
- Drive agile data development
- Identify technology risks and dependencies
- Implement data validation and quality checks
- Ingest process and transform structured and unstructured data
- Lead data pipeline development
- Manage access control policies
- Mentor junior team members
- Review and improve deployment processes
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Agile | BigQuery | CI/CD | Cloud Storage | Cloud platform | Composer | Data Governance | Data Pipelines | Data Quality | Data Security | Data Warehouse | Data Warehouse Concepts | Data lifecycle | Dataflow | Dimension modeling | ETL | Exception Handling | Fact-Dimension Modeling | Fact/Dimension | GitHub | Google Cloud | Google Cloud Platform | IDMC | IICS | Informatica | Liquibase | Metadata Management | Project Management | PubSub | Python | SQL | Slowly Changing Dimensions | Star Schema | Warehouse concepts
Education
N/A
Roles
Data Engineer | Data Engineering | Data Engineering Lead | Developer | ETL Developer | Engineer | Engineering Lead | Lead
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