Senior Data Engineer, Business Operations
Paramus, NJ, United States
USD 158K-195K (estimate) Senior-level Full Time
Tasks
- Analyze existing databases redesign for AI ML readiness
- Architect data lake and data pipelines
- Build data transformations with dbt
- Define data requirements from business problems
- Design semantic data models for AI ML use cases
- Develop batch and streaming data ingestion with observability
- Implement data quality, lineage, and governance
- Improve scalability efficiency and maintainability
- Lead modern data stack architecture
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Iceberg | Azure | CI/CD | DBT | Data Governance | Data Lake | Data Lineage | Data Observability | Data Pipelines | Data Quality | Data fabric | Data mesh | Feature Store | Graph Databases | MLflow | Medallion Architecture | Neo4j | Ontology driven modeling | PySpark | Python | SQL | Semantic Modeling | Snowflake | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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