Data Engineer (Hybrid)
Tasks
- Automate manual data processes
- Build and optimize big data pipelines
- Build data extraction and transformation infrastructure
- Collaborate with analytics and business teams on data models
- Create consistent machine readable datasets
- Design data specifications from business priorities
- Develop and test data pipelines for warehouses and lakes
- Implement predictive modeling data foundations
- Monitor and ensure data quality
- Support end to end data strategy ingest to output
- Transform data for analysis
Perks/Benefits
Skills/Tech-stack
Apache Spark | Data Lakes | Data Modeling | Data Pipelines | Data Quality | Data Transformation | Data Warehousing | Data extraction | Databricks | Hadoop | Predictive Modeling | Project Management | Python | R | Relational databases | SAS | SQL
Education
Roles
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