Experienced Full Stack Data Engineer – Cloud-Based Data Pipeline Development at arenaflex

At arenaflex, we're on a mission to revolutionize the way we approach data engineering and analytics. As a leading innovator in the industry, we're seeking an experienced Full Stack Data Engineer to join our team and contribute to the development of cutting-edge data pipelines and solutions. If you're passionate about data engineering, cloud computing, and collaborative problem-solving, we want to hear from you.

About arenaflex

arenaflex is a forward-thinking organization that's dedicated to harnessing the power of data to drive business growth and innovation. With a strong focus on cloud-based technologies, we're constantly pushing the boundaries of what's possible with data engineering and analytics. Our team is comprised of talented professionals who share a passion for learning, collaboration, and excellence.

Job Summary

We're seeking an experienced Full Stack Data Engineer to join our team and contribute to the development of cloud-based data pipelines and solutions. As a key member of our data engineering team, you'll be responsible for designing, developing, testing, and deploying data pipelines and products that enable real-time business analytics, data exploration, and data preparation. If you have a strong background in data engineering, cloud computing, and collaborative problem-solving, we encourage you to apply.

Key Responsibilities

As a Full Stack Data Engineer at arenaflex, you'll be responsible for the following key responsibilities:

• Design, develop, test, and deploy cloud-based data pipelines and products that enable real-time business analytics, data exploration, and data preparation.
• Develop and maintain documentation for all assigned projects and structures.
• Provide training and lead the implementation of complex projects.
• Perform root cause analysis to identify permanent solutions to software or business process issues.
• Collaborate with cross-functional teams to design and implement data-driven solutions.
• Develop and maintain data models, data warehouses, and data lakes.
• Optimize data pipelines and products to provide client personas, data science, AI/ML, and data visualization.
• Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines.

Essential Qualifications

To be successful in this role, you'll need to possess the following essential qualifications:

• Bachelor's degree in computer science, information systems, or a related field, or equivalent work experience.
• Strong professional experience with Spark (PySpark) using Jupyter Notebooks, Colab, or DataBricks.
• Hands-on experience with data pipeline development, ingest styles in Azure.
• Experience with orchestration tools, ADF, or Airflow.
• Strong understanding of SQL and denormalized data modeling for large data structures.
• Collaborative, capable of working remotely, and an interesting team member.
• Strong analytical and design skills.
• 7-10 years of experience in architecting and designing big-scale high-performance distributed systems.
• 7-10 years of experience in SQL Platform.
• 3+ years of experience in No-SQL Platform.
• 3+ years of experience in Spark.
• 3+ years of experience in data platform implementation on Azure or AWS.
• 2+ years of experience in CI/CD experience.
• Exposure to SOA architecture.

Preferred Qualifications

While not required, the following qualifications are highly desirable:

• Master's degree in computer science, information systems, or a related field.
• Experience with cloud-based data platforms, such as AWS or Azure.
• Experience with data visualization tools, such as Tableau or Power BI.
• Experience with machine learning and AI platforms, such as TensorFlow or PyTorch.
• Experience with DevOps practices and tools, such as Jenkins or Docker.

Skills and Competencies

To succeed in this role, you'll need to possess the following skills and competencies:

• Strong understanding of data engineering concepts, including data pipelines, data warehouses, and data lakes.
• Experience with cloud-based data platforms, such as AWS or Azure.
• Strong analytical and design skills.
• Collaborative, capable of working remotely, and an interesting team member.
• Strong communication and presentation skills.
• Ability to work in a fast-paced environment and prioritize multiple tasks.
• Strong problem-solving skills and attention to detail.

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to helping our employees grow and develop their careers. As a Full Stack Data Engineer, you'll have access to a range of learning benefits, including:

• Opportunities for professional development and growth.
• Access to cutting-edge technologies and tools.
• Collaborative and supportive team environment.
• Flexible work arrangements and remote work options.
• Competitive salary and benefits package.

Work Environment and Company Culture

arenaflex is a dynamic and innovative organization that values collaboration, creativity, and excellence. Our team is comprised of talented professionals who share a passion for learning, problem-solving, and making a difference. As a Full Stack Data Engineer, you'll be part of a fast-paced and dynamic team that's dedicated to delivering exceptional results.

Compensation, Perks, and Benefits

arenaflex offers a competitive salary and benefits package, including:

• Competitive salary range: $55 to $80 per hour.
• Comprehensive benefits package, including health insurance, dental insurance, and vision insurance.
• Flexible work arrangements and remote work options.
• Access to cutting-edge technologies and tools.
• Opportunities for professional development and growth.
• Collaborative and supportive team environment.

Conclusion

If you're a talented Full Stack Data Engineer who's passionate about data engineering, cloud computing, and collaborative problem-solving, we want to hear from you. At arenaflex, we're committed to delivering exceptional results and making a difference in the industry. Apply now and let's discuss how you can become a vital part of our success story. Apply To This Job Apply for this job