Data Engineer
Core
Designing and implementing resilient data systems, ELT processes, and MLOps environments to support Data Analysts, Scientists, and Software Engineers.
Role type
Data Engineer
Builds
Data Analytics Platform, ELT pipelines, data lakehouse, MLOps environment
Domain
Data Engineering, Cloud Services, MLOps
Deliverable
production ML models | infrastructure
Required skills
Airflow, dbt, Meltano, MLflow, Databricks, data governance, data quality systems, performance optimization, Streamlit
Technologies
Airflow, dbt, Meltano, MLflow, Databricks, Streamlit
Responsibilities
Designing and implementing resilient and reliable data systems; Managing Airflow deployment and DAG orchestration; Developing and managing ELT processes; Facilitating data transformation and modeling via dbt; Administering the data lakehouse Databricks; Designing and implementing data quality and alerting systems; Monitoring and improving analytics system performance; Assisting Data Scientists with MLOps environment and data app serving
Seniority
Mid-level, hands-on IC
