Data Engineer

Data Engineering & Pipeline Development

Design, develop, and maintain ETL pipelines and data ingestion processes supporting ML/AI models
Build and enhance Hive and DBMS-based applications for large-scale data processing
Develop PySpark and Spark jobs for big data transformation and analytics workloads
Write and optimize Oracle SQL/PLSQL stored procedures and queries on Exadata

ML/AI Model Support

Develop components that prepare and serve data for machine learning model training and inference
Implement and deploy statistical models using Python libraries (scikit-learn, scipy, numpy, pandas)

Collaboration & Leadership

Lead and mentor a team of developers on data engineering best practices
Partner with business stakeholders to translate requirements into scalable data solutions
Participate in design and code peer reviews
Contribute to analysis of operational issues and drive resolution
Work in a fast-paced Agile environment with minimal supervision