Data Engineer I - Remote

Overview

The Data Engineer is responsible for building, maintaining, and optimizing data pipelines, ensuring that the organization’s data infrastructure can handle large volumes of structured and unstructured data.

In Short

• Build and manage scalable data pipelines for ETL processes.
• Integrate diverse data sources into a coherent data environment.
• Automate data extraction and transformation processes.
• Design and manage relational databases for optimal performance.
• Ensure data quality and monitor pipeline performance.
• Optimize data systems for speed and scalability.
• Collaborate with peers to meet business data needs.
• Utilize programming skills in Python and SQL.
• Familiarity with data visualization tools is a plus.
• Full-time position with a mix of in-office and remote work.

Requirements

• Bachelor’s degree in Computer Science or related field.
• Experience in data engineering and managing data infrastructure.
• Strong analytical and problem-solving skills.
• Effective communication skills with stakeholders.
• Proficiency in Python and SQL.
• Knowledge of relational databases like MS SQL Server and PostgreSQL.
• Experience with ETL tools and data warehousing solutions.
• Familiarity with machine learning concepts.
• Experience with data visualization tools like Tableau or Power BI.
• Understanding of retail and e-commerce data flows is beneficial.

Benefits

• Collaborative and fast-paced work environment.
• Flexibility with remote work options.
• Opportunities for professional growth and development.
• Engagement with cutting-edge data technologies.
• Supportive team culture.