Data Engineer, Data Innovation and Tools Rationalization
Tasks
- Collaborate with data product owners architects and platform teams
- Conduct proofs of concept and compare solutions
- Design and build data product engineering patterns
- Develop reusable engineering assets
- Document outcomes transition plans and adoption guides
- Evaluate test and experiment with data and AI tools
- Operationalize data engineering patterns across delivery teams
- Support platform modernization tuning and optimization
Perks/Benefits
- 401k employer retirement plan
- Adoption Assistance
- Healthcare (Medical Dental Vision)
- Hybrid/flexible schedule
- Paid Holidays
- Paid vacation
- Parental leave
- Sick and Safe Leave
Skills/Tech-stack
AWS | Airflow | Azure | CI/CD | Data Modeling | Data Observability | Data Quality | Data orchestration | Data product | Data product design | Databricks | ETL | Google Cloud | Hadoop | Hive | Infrastructure as Code | Monitoring | Product Design | Python | SQL | Snowflake | Spark | Workflow Management | “as-code”
Education
Roles
Regions
Countries
States
Cities
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