Senior Data Engineer
Core
Designing, developing, and optimizing robust and scalable data pipelines and flows to support business-critical needs and enable data-driven decisions.
Role type
Senior Data Engineer
Builds
Scalable and efficient data platforms in cloud environments
Domain
IT / Data Engineering
Deliverable
production ML models
Required skills
Python, PySpark, data modeling, data architecture (Medallion, Lakehouse), ETL pipelines, Databricks, Delta Tables, Parquet, S3 bucket architecture, Airflow, cloud platforms (AWS, Azure, GCP), data quality frameworks, data testing
Preferred skills
Experience in agile development environments
Technologies
PySpark, Databricks, Delta Tables, Parquet, S3, Airflow, AWS, Azure, GCP
Responsibilities
Design and develop data pipelines and data products; Build and maintain ETL flows; Ensure data quality and develop testable data flows; Contribute to the development of scalable and efficient data platforms in cloud environments
Seniority
Senior, hands-on IC
