Sr. Data Engineer
Tasks
- Build GenAI self service documentation and natural language tools
- Collaborate with data architects to define requirements
- Design real time near real time and batch data pipelines
- Develop AI orchestrated data pipelines
- Implement data quality monitoring and CI CD automation
- Implement data transformations and enrichment
- Ingest data for analytics and GenAI applications
- Standardize AI first engineering workflows for code delivery
Perks/Benefits
- Career development
- Employee resource groups
- Flexible WFH
- Generous PTO
- Paid volunteer time
- Phone and internet reimbursement
- Wellness programs
- Work-life balance
Skills/Tech-stack
Apache Airflow | Apache Hadoop | Apache Hive | Apache Impala | Apache Kafka | Apache NiFi | Apache Spark | Avro | CI/CD | Data Modeling | Data Pipeline Monitoring | Data pipeline | Distributed Systems | ETL | HBase | HDFS | Inmon Method | Kimball Method | Kudu | LLM | Language Processing | Natural Language | Natural Language Processing | Parquet | Pipeline monitoring | Python | RAG | Retrieval-Augmented Generation | SQL | System design | Vector Databases
Education
Roles
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