Lead Data/AI Engineering
Tasks
- Build data warehousing solutions
- Design data pipelines
- Design schema
- Develop data pipelines
- Document data pipelines and processes
- Ensure data quality and reliability
- Implement data architecture
- Ingest and validate data
- Integrate data from multiple sources
- Maintain data pipelines
- Mine and validate structured and unstructured datasets
- Model data for analytics
- Normalize and clean data
- Optimize data processing workflows
- Resolve data issues
- Run data analyses and generate insights
- Support data infrastructure
Perks/Benefits
- 401k plan
- Accidental death insurance
- Adoption reimbursement
- Employee assistance programs
- Employee discounts
- Employee wellness programs
- Life insurance
- Long-term disability
- Medical, dental & vision coverage
- Paid Holidays
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Short-term disability
- Tuition reimbursement
Skills/Tech-stack
Apache Spark | Azure | Data Ingestion | Data Modeling | Data Normalization | Data Science | Data Validation | Data Warehousing | Data cleaning | Databricks | Hadoop | Kafka | Machine Learning | PySpark | Python | SQL | Scala | Schema Design | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology
Roles
Data Engineering | Data Scientist | Engineering | Lead | Lead Data | Lead Data Engineering | Lead Data Scientist | Scientist
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