Senior Data Engineer - Vice President
Location(s): Irving, Texas, United States
USD 125K-188K Senior-level Full Time
Tasks
- Build real-time data pipelines
- Collaborate with agile teams to translate data requirements into technical specifications
- Contribute to AI ML model integration into data pipelines
- Deploy machine learning models in production
- Develop Spark solutions for ingestion analytics and reporting
- Develop scalable data solutions in Hadoop
- Implement MLOps continuous integration continuous delivery and training
- Implement data security and governance policies
- Monitor Hadoop and streaming infrastructure reliability and data integrity
- Optimize Hadoop clusters performance scalability and resource utilization
- Own end to end delivery for data initiatives from concept to deployment
- Stream data using Apache Kafka
- Troubleshoot Hadoop and streaming platform issues
Perks/Benefits
- 401k
- Life insurance
- Medical, dental, and vision insurance
- Paid Holidays
- Paid time off
- Wellness programs
Skills/Tech-stack
Apache Kafka | Apache Spark | Continuous Delivery | Continuous Training | Continuous integration | Data Governance | Data Ingestion | Data Security | Data Warehousing | Dimensional Modeling | ELT | ETL | FastAPI | Feature Engineering | HBase | HDFS | Hadoop | Hive | Kafka Streams | MLOps | Machine Learning | MapReduce | Model Deployment | PySpark | Python | Real Time | Real-time analytics | SQL | Unix | YARN
Education
Roles
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