Junior Data Engineer - Remote

Overview

A Junior Data Engineer is responsible for supporting the design, development, and maintenance of data pipelines to ensure reliable data flow for analytics and reporting. The role involves tasks such as cleaning, validating, and integrating data, as well as assisting with data storage solutions under the guidance of senior engineers.

In Short

• Design, build, and maintain data pipelines for collecting, processing, and integrating data.
• Perform data cleaning and validation to ensure data quality and integrity.
• Assist with database schema design, data modeling, and optimization.
• Implement and support ETL processes to move data to data warehouses or lakes.
• Collaborate with data scientists and senior engineers to build scalable data infrastructure.
• Create and maintain documentation for data pipelines and processes.
• Gain hands-on experience with big data technologies and cloud platforms.

Requirements

• Proficiency in Python and SQL for data manipulation and querying.
• Solid understanding of relational databases and data modeling concepts.
• Basic familiarity with cloud computing platforms such as AWS, Azure, or GCP.
• Experience with big data tools and frameworks, including Snowflake.
• Foundational knowledge of data engineering principles and Agile methodologies.
• Awareness of data governance, security, and quality management practices.
• Ability to work effectively in cross-functional teams.
• Strong verbal and written communication skills.
• Analytical mindset with problem-solving abilities.
• Quick learner who can adapt to new technologies.

Benefits

• Remote work flexibility.