Big Data Engineer

This role focuses on designing, building, and maintaining robust and scalable data pipelines and infrastructure to support data-driven decision-making. The Big Data Engineer will work closely with data scientists, analysts, and other stakeholders to ensure the availability, reliability, and performance of our data systems.

Key Responsibilities:

Design and develop scalable data pipelines using various technologies.
Build and maintain data warehouses and data lakes.
Optimize data processing and storage for performance and cost-effectiveness.
Implement data quality checks and monitoring systems.
Collaborate with cross-functional teams to understand data requirements.
Troubleshoot and resolve data-related issues.

Requirements/Qualifications:

Experience with big data technologies such as Hadoop, Spark, and Kafka.
Proficiency in programming languages like Python or Java.
Strong understanding of data warehousing concepts and techniques.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a team.

About the Company: Bounteous is a digital experience agency that helps organizations create impactful and engaging online experiences. They specialize in delivering innovative solutions across a range of industries, focusing on strategy, design, and technology.