Description

You will design and maintain scalable data pipelines and architectures to support business intelligence and analytics.

Responsibilities

• Develop and manage ETL processes to ensure data accuracy, completeness, and consistency.
• Collaborate with data scientists and analysts to deliver high-quality data solutions.
• Optimize and troubleshoot data processing workflows and storage retrieval.
• Manage data using MongoDB, MariaDB, and Snowflake, applying best practices in database design and performance tuning.
• Implement data security measures and document all processes, workflows, and systems for compliance.

Required Skills

• 6+ years of experience in data engineering.
• 3-4 years of hands-on experience with MongoDB, MariaDB, and Snowflake.
• Strong proficiency in Python, R, and SQL.
• Proficiency in both SQL and NoSQL databases.
• Expertise in data modeling and ETL processes.
• Experience with data warehousing and cloud-based data solutions.
• Bachelor's degree in Computer Science.

Preferred Skills

• Familiarity with data pipeline orchestration tools such as Apache Airflow or Luigi.

Key Skills

Education

Bachelor's degree in Computer Science