Data Engineering Lead
SC121 - DXC Charleston Fairchild St (SC121), United States
USD 137K-226K (estimate) Senior-level Full Time
Tasks
- Build batch streaming and event driven pipelines
- Define data engineering strategy
- Design scalable data architectures
- Develop data lakes data warehouses and lakehouse architectures
- Drive agile delivery with governance and quality
- Enable AI machine learning and advanced analytics data pipelines
- Establish data modeling and integration standards
- Identify risks dependencies and technical debt remediation
- Implement DataOps and Infrastructure as Code
- Implement data governance and data quality frameworks
- Lead enterprise data platform engineering
- Manage delivery of concurrent data engineering initiatives
- Monitor data observability and reliability
- Operationalize governed feature engineering and model data
- Partner with stakeholders to align data investments with business goals
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Azure | Azure Synapse | BigQuery | CI/CD | Data Governance | Data Lake | Data Warehouse | DataOps | Databricks | ELT | ETL | Event Driven | Event-driven architecture | Google Cloud | Infrastructure as Code | Lakehouse | Observability | Python | Real Time | Real-time Processing | Redshift | SQL | Scala | Snowflake | Spark | Streaming | Time processing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineering | Data Engineering Lead | Engineering Lead | Lead
Regions
Countries
States
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