Data Engineering Lead
USD 135K-195K (estimate) Senior-level Full Time
Tasks
- Align solutions to business needs
- Collaborate on deployment automation
- Coordinate cross-functional delivery
- Create production support and deployment artifacts
- Decompose stories and prioritize tasks
- Drive agile development
- Improve team performance and outcomes
- Lead data pipeline development
- Manage technology risks and dependencies
- Mentor engineers
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Agile | Cloud Composer | Cloud Dataflow | Cloud Storage | Confluent Kafka | Data Architecture | Data Governance | Data Modeling | Data Quality | Data Security | Data Visualization | Data Warehouse | Dimension modeling | ETL | Event Driven | Event-driven architecture | Exception Handling | Fact-Dimension Modeling | Fact/Dimension | GitHub | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Storage | Informatica | Informatica IDMC | Informatica IICS | Integration Services | Jira | Liquibase | Metadata Management | PubSub | Python | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | Server Integration Services | Slowly Changing Dimensions | Star Schema | Streaming Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Architect | Data Architect | Data Engineering | Data Engineering Lead | Developer | ETL Developer | Engineering Lead | Lead
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