**Experienced Full Stack Data Engineer – Cloud and Data Pipeline Development**

At arenaflex, we're on a mission to revolutionize the way we work with data. As a key member of our Dataworks team, you'll play a critical role in designing, developing, and maintaining our cloud-based data pipelines and infrastructure. If you're passionate about data engineering, cloud computing, and collaboration, we want to hear from you!

• *About arenaflex**

arenaflex is a leading provider of innovative solutions for the transportation industry. Our team of experts is dedicated to delivering cutting-edge technology that drives business growth and efficiency. We're committed to fostering a culture of innovation, collaboration, and continuous learning.

• *Job Summary**

We're seeking an experienced Full Stack Data Engineer to join our Dataworks team. As a key member of this team, you'll be responsible for designing, developing, and maintaining our cloud-based data pipelines and infrastructure. You'll work closely with our data scientists, engineers, and business stakeholders to ensure that our data solutions meet the needs of our customers.

• *Key Responsibilities**

• Design, develop, and maintain cloud-based data pipelines and infrastructure using a range of technologies, including Azure, AWS, and Google Cloud Platform.
• Collaborate with data scientists, engineers, and business stakeholders to understand data requirements and develop data solutions that meet business needs.
• Develop and maintain data processing workflows using tools such as Apache Beam, Apache Spark, and Apache Flink.
• Design and implement data storage solutions using relational and NoSQL databases, such as MySQL, PostgreSQL, and MongoDB.
• Develop and maintain data visualization tools using technologies such as Power BI, Tableau, and D3.js.
• Collaborate with our DevOps team to ensure that our data solutions are scalable, secure, and reliable.
• Participate in code reviews and contribute to the development of best practices and standards for data engineering.
• Provide technical guidance and support to junior engineers and data scientists.

• *Essential Qualifications**

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 4+ years of experience in data engineering, cloud computing, and data pipeline development.
• Strong knowledge of cloud-based data platforms, including Azure, AWS, and Google Cloud Platform.
• Experience with data processing frameworks, such as Apache Beam, Apache Spark, and Apache Flink.
• Strong knowledge of data storage solutions, including relational and NoSQL databases.
• Experience with data visualization tools, such as Power BI, Tableau, and D3.js.
• Strong understanding of DevOps principles and practices.
• Excellent communication and collaboration skills.

• *Preferred Qualifications**

• Master's degree in Computer Science, Data Science, or a related field.
• 6+ years of experience in data engineering, cloud computing, and data pipeline development.
• Experience with containerization and orchestration tools, such as Docker and Kubernetes.
• Strong knowledge of machine learning and artificial intelligence.
• Experience with data governance and data quality tools.
• Strong understanding of cloud security and compliance.

• *What We Offer**

• Competitive salary and benefits package.
• Opportunity to work with a leading provider of innovative solutions for the transportation industry.
• Collaborative and dynamic work environment.
• Professional development and growth opportunities.
• Flexible work arrangements, including remote work options.

• *How to Apply**

If you're passionate about data engineering and cloud computing, and you're looking for a challenging and rewarding role, we want to hear from you! Please submit your resume and a cover letter explaining why you're the ideal candidate for this role.