Senior Data Engineer AI
Tasks
- Adhere to compliance rules
- Configure production data solutions
- Create SQL queries for data management
- Create and maintain SOP documents
- Identify anomalies and data quality issues
- Maintain SQL queries for data validation
- Monitor data processes and analyze trends
- Participate in client and stakeholder meetings
- Perform data pipeline troubleshooting
- Provide after-hours support
- Recommend remediation actions
- Report data process interruptions using SOP
- Support customer testing for new technology
- Train and mentor team members
Perks/Benefits
- 401k matching
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid Holidays
- Paid family leave
- Paid time off
- Remote work
- Vision insurance
Skills/Tech-stack
AWS | Amazon Web Services | Apache Airflow | Apache Spark | Data Ingestion | Data Modeling | Data Quality | Data Security | Data integration | Data pipeline | Data pipeline orchestration | Databricks | Databricks Workflows | ETL | Hadoop | Jira | Microsoft Azure | Microsoft Excel | Microsoft Outlook | Microsoft PowerPoint | Microsoft Word | Pipeline Orchestration | Project Management | PySpark | SQL | Scala | Snowflake | Web Services
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
Roles
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