Senior Data Engineer - Remote

Overview

As a Senior Data Engineer at Orita, you will play a crucial role in unifying our data pipeline and ensuring high-quality data for our machine learning models, impacting our product and culture significantly.

In Short

• Design and build scalable and reliable data pipelines.
• Develop an event taxonomy and normalization layer for data consistency.
• Maintain workflows using Airflow and dbt.
• Collaborate with data scientists for seamless data integration.
• Optimize data retrieval and develop data models.
• Ensure data quality and integrity throughout the data lifecycle.
• Implement ETL/ELT processes.
• Contribute to feature engineering for model performance.
• Monitor and troubleshoot data pipelines.
• Work remotely with occasional in-person meetings.

Requirements

• 5+ years of experience in data engineering.
• Expertise in Python and SQL.
• Experience with big data tools.
• Proficiency with DAG tools like Airflow and dbt.
• Strong understanding of ETL/ELT development.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Strong analytical and problem-solving skills.
• Excellent communication skills.
• Strong sense of responsibility and ownership.
• Intellectual curiosity and a desire to improve systems.

Benefits

• Work remotely with flexibility.
• Opportunity to impact product and culture.
• Collaborate with talented teams.
• Engage in innovative data processing capabilities.
• Contribute to a data science and machine learning company.