Lead Data Engineer
Work at Home - Virginia, USA (WVAA), United States
USD 138K-231K Senior-level Full Time
Tasks
- Automate data engineering solutions using reusable design
- Build enhance and support batch and real time data pipelines
- Define data models and support solution design
- Drive continuous improvement across data systems
- Ensure SLA driven support and service delivery
- Execute test plans including functional regression and exploratory testing
- Implement data governance and promote data literacy
- Manage technical debt and optimize processes
- Monitor troubleshoot and tune performance of data platforms
- Own day to day operations of data analytics platforms
- Perform data exploration analysis and maintain data definitions business rules and lineage
- Report insights through dashboards and presentations
- Support cloud infrastructure and IaC practices
Perks/Benefits
- N/A
Skills/Tech-stack
Alation | Azure Data | Azure Data Factory | Data Factory | Data Governance | Databricks | IBM InfoSphere | IBM Infosphere DataStage | IaaS | InfoSphere-DataStage | Infrastructure as Code | Metadata Management | PaaS | Power BI | PySpark | Python | R | REST API | SAP | SQL | SaaS | Snowflake | Splunk | Unix | “as-code”
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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