Senior Vice President, Data Pipeline Engineer – Ontology & Investment Data Standard (IDS)
Pittsburgh, PA, United States
USD 104K-210K (estimate) Senior-level Full Time
Tasks
- Build cloud native pipelines with monitoring and SLAs
- Design and build scalable data pipelines
- Develop reusable identifier normalization frameworks
- Enable multi vendor data ingestion comparison and reconciliation
- Implement data quality controls and anomaly detection
- Ingest and process batch streaming and near real time data
- Map source data to canonical entities and relationships
- Transform raw data into standardized time series and event datasets
- Translate business requirements into production ready pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Anomaly Detection | Apache Spark | Backward Compatibility | Cost Optimization | Data Lineage | Data Modeling | Data Quality | Data orchestration | Databricks | ELT | ETL | Entity Resolution | Event Driven | Event-driven architecture | Knowledge graph | Lakehouse | Logging | Monitoring | Ontology | Performance Tuning | Python | SQL | Schema evolution | Snowflake | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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