Big Data Engineer - Remote

Overview

The Big Data Engineer at Samsung Electronics America is responsible for designing and implementing scalable data pipelines and solutions, leveraging big data technologies to manage and analyze large datasets.

In Short

• Develop end-to-end pipelines using open-source tools.
• Implement complex big data projects focused on data management and visualization.
• Utilize programming languages such as Python and SQL.
• Work with technologies like BigQuery, Kubernetes, and Spark.
• Collaborate with Data Analysts and stakeholders to define project requirements.
• Optimize big data solutions for performance.
• Contribute to source control and deployment best practices.
• Document project requirements and resolve ambiguities.
• Provide production support and monitor ETL data quality.
• Engage in continuous learning and application of big data engineering concepts.

Requirements

• Bachelor's or Master's in Computer Engineering or related field.
• 2-3 years of experience with big data solutions on GCP.
• Proficiency in Python, SQL (BigQuery preferred), Kubernetes, and Airflow.
• Experience in developing complex SQL transformations.
• Strong analytical and problem-solving skills.
• Ability to convert functional requirements into code design.
• Experience with GitHub and development IDEs.
• Excellent oral and written communication skills.
• Experience in team collaboration.
• Hands-on experience with big data engineering concepts.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development.
• Work in a diverse and inclusive environment.
• Access to cutting-edge technology and innovation.
• Flexible working arrangements.