Manager, Data Engineering
USD 96K-132K (estimate) Mid-level Full Time
Tasks
- Align data solutions to business needs
- Collaborate with analysts and stakeholders on requirements
- Coordinate cross-functional delivery
- Create maintain production support and deployment artifacts
- Decompose stories design features prioritize tasks
- Design implement and optimize end to end data pipelines
- Develop ETL processes
- Drive agile development
- Identify technology risks and dependencies
- Implement data security controls
- Implement data validation and quality checks
- Interface with product owner and stakeholders for on time delivery
- Lead data pipeline development
- Manage outcomes and team performance
- Mentor junior team members
- Review improve processes with developers and support teams
Perks/Benefits
Skills/Tech-stack
Access Management | Agile | BigQuery | Cloud Composer | Cloud Storage | Data Governance | Data Quality | Data Security | Data Warehousing | Data pipeline | Dataflow | Dimension modeling | ETL | Exception Handling | Fact-Dimension Modeling | Fact/Dimension | GitHub | IICS | Informatica | Integration Services | Liquibase | Metadata Management | Project Management | PubSub | Python | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | Server Integration Services | Slowly Changing Dimensions | Star Schema
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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