Description

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and engineering teams to deliver reliable data solutions.
• Ensure data quality, integrity, and security across all data systems; implement automated monitoring and anomaly detection.
• Develop dashboards and reporting solutions that support product goal tracking and decision-making.
• Leverage and develop AI-native tools and workflows to accelerate data engineering velocity.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data workflows, processes, and best practices, contributing to a culture of knowledge sharing and operational excellence.

Minimum Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Proven experience in data engineering, including building and maintaining ETL pipelines.
• Proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala).
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and cloud platforms (e.g., AWS, GCP, Clienture).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities

Key Skills

Education

Bachelor's degree