Sr. Data Engineer
Tasks
- Architect real time near real time and batch pipelines
- Build GenAI self service tools
- Collaborate with data architects and analysts to gather requirements
- Develop and implement data transformations
- Ensure reliable data ingestion
- Implement monitoring and CI CD automation for data quality
- Monitor pipelines and resolve data quality issues
- Standardize AI first engineering workflows
Perks/Benefits
- Continued Career Development
- Employee resource groups
- Flexible WFH
- Generous PTO
- Paid volunteer time
- Phone and internet reimbursement
- Wellness programs
- Work-life balance programs
Skills/Tech-stack
Apache Airflow | Apache Hadoop | Apache Hive | Apache Impala | Apache Kafka | Apache NiFi | Apache Spark | Avro | Batch Processing | CI/CD | Data Modeling | Data Processing | Data Quality | Dimensional Modeling | ETL | GenAI | GitHub Copilot | HBase | HDFS | Inmon | Kimball | Kudu | LLM | LLM orchestration | Language Processing | Natural Language | Natural Language Processing | Parquet | Python | RAG | Real Time | Real-time Data | Real-time Data Processing | Retrieval-Augmented Generation | SQL | Streaming | System design | Vector Databases
Education
Roles
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