Data Science & Engineering Lead
Tasks
- Architect optimize data pipelines batch and streaming
- Build BI and analytics solutions
- Build and maintain lakehouse architectures
- Design manage ETL ELT workflows
- Develop optimize distributed data processing training workflows
- Drive cloud architecture decisions AWS or Azure
- Implement bronze silver gold data modeling
- Lead MLOps initiatives deployment monitoring lifecycle management
- Lead design develop deploy machine learning models
- Mentor engineers and promote best practices
- Oversee database design and optimization OLTP OLAP
Perks/Benefits
- Collaborative engineering culture
- Continuous learning
- Flexible remote work
- Flexible work arrangements
Skills/Tech-stack
API Gateway | AWS | AWS Glue | AWS SageMaker | Airbyte | Amazon EMR | Amazon QuickSight | Apache Airflow | Apache Spark | Azure | Azure Machine Learning | CNN | Computer Vision | DBT | Databricks | Deep learning | Delta Lake | Distributed Training | ELT | ETL | GAN | Hugging Face | IAM | Iceberg | Kafka | Lambda | Langchain | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | NoSQL | NumPy | OLAP | OLTP | Pandas | Power BI | PyTorch | RNN | SQL | Scikit-learn | Spark MLlib | Supervised Learning | Tableau | TensorFlow | Transformers | Unsupervised Learning
Education
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