Sr. Data Engineer, Data Innovation and Tools Rationalization
Tasks
- Build reusable data frameworks
- Collaborate with data product owners and architects
- Design data product engineering patterns
- Develop production data pipelines
- Document adoption guides
- Evaluate emerging data and AI tools
- Optimize and tune data platforms
- Own CI CD templates
- Provide technical mentorship
- Run proofs-of-concept
Perks/Benefits
- 401k employer funded retirement plan
- Adoption Assistance
- Healthcare (Medical Dental Vision)
- Hybrid/flexible schedule
- Life insurance
- Long-term disability
- Paid holiday opportunities
- Paid vacation
- Parental leave
- Pregnancy disability
- Short-term disability
- Sick and Safe Leave
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | Batch Processing | CI/CD | Cause analysis | Cloud platform | Data Modeling | Data Quality | Data product | Data product design | Databricks | ETL | Google Cloud | Google Cloud Platform | Hadoop | Hive | Infrastructure as Code | Monitoring | Observability | Power Apps | Power Automate | Power BI | Product Design | Python | Root Cause Analysis | Root cause | SQL | Snowflake | Streaming processing | Tableau | “as-code”
Education
Roles
Regions
Countries
States
Cities
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