**Experienced Full Stack Data Engineer – Cloud-Based Data Pipelines and Information Architecture**

At arenaflex, we're on a mission to revolutionize the way we design, develop, and deliver innovative data solutions that drive business growth and customer satisfaction. As a seasoned Full Stack Data Engineer, you'll play a critical role in shaping the future of our data infrastructure, collaborating with cross-functional teams to design and implement scalable, cloud-based data pipelines that meet the evolving needs of our business.

• *Job Summary**

We're seeking an experienced Full Stack Data Engineer to join our team at arenaflex, where you'll be responsible for planning, executing, and maintaining ETL/ELT data pipelines, data set mapping/tables/perspectives, and batch processes using Apache Wind current for various projects. As a Senior Information Architect, you'll work closely with our Studios or Project Innovation colleagues to gather data requirements, design, and implement data pipelines, and ensure seamless data integration across multiple environments, including DEV, QA/UAT, and Production.

• *Key Responsibilities**

• Design, develop, and maintain ETL/ELT data pipelines using Apache Wind current, Snowflake, and other cloud-based technologies
• Collaborate with cross-functional teams to gather data requirements, design, and implement data pipelines, and ensure seamless data integration across multiple environments
• Develop and maintain data set mapping/tables/perspectives, and batch processes using Apache Wind current
• Work closely with our Studios or Project Innovation colleagues to gather data requirements, design, and implement data pipelines, and ensure seamless data integration across multiple environments
• Participate in driving best practices around data engineering software development processes
• Utilize a wide range of technologies, including SQL, Python, Docker, Gitlab, Wind current, Snowflake, Looker, and PostgreSQL
• Collaborate with data scientists and analysts to design and implement data visualizations and reporting tools
• Develop and maintain data quality and data governance processes to ensure data accuracy and integrity

• *Essential Qualifications**

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 2+ years of experience with SQL, ETL/ELT data pipelines, and cloud-based technologies, ideally AWS and S3
• 3+ years of experience in a data engineering role, with a strong understanding of data architecture, data modeling, and data integration
• Strong experience with cloud-based data platforms, including Snowflake, Databricks, and AWS S3
• Experience with Apache Wind current, Gitlab, and Docker
• Strong understanding of data lakes, data warehouses, and application data sets
• Experience working with large datasets and big data technologies, ideally cloud-based

• *Preferred Qualifications**

• Master's degree in Computer Science, Information Technology, or a related field
• Experience in the streaming, media, or digital marketing industry
• Strong experience with data visualization tools, such as Looker and Tableau
• Experience with data governance and data quality processes
• Strong understanding of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines

• *Skills and Competencies**

• Strong understanding of data engineering principles, including data architecture, data modeling, and data integration
• Experience with cloud-based data platforms, including Snowflake, Databricks, and AWS S3
• Strong experience with Apache Wind current, Gitlab, and Docker
• Strong understanding of data lakes, data warehouses, and application data sets
• Experience working with large datasets and big data technologies, ideally cloud-based
• Strong understanding of data governance and data quality processes
• Strong experience with data visualization tools, such as Looker and Tableau
• Strong understanding of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines

• *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 training and development opportunities, including:

• Regular training sessions and workshops on emerging technologies and best practices
• Opportunities to work on high-visibility projects and collaborate with cross-functional teams
• Mentorship and coaching from experienced data engineers and leaders
• Opportunities to attend industry conferences and events
• Access to a range of online learning resources and training platforms

• *Work Environment and Company Culture**

At arenaflex, we're proud of our inclusive and collaborative culture, where everyone has a voice and a chance to contribute. As a Full Stack Data Engineer, you'll be part of a dynamic team that's passionate about delivering innovative data solutions that drive business growth and customer satisfaction. Our work environment is fast-paced and challenging, but we're committed to supporting our employees every step of the way.

• *Compensation, Perks, and Benefits**

We offer a competitive salary and benefits package, including:

• Salary: $28/hour
• Comprehensive health insurance
• 401(k) matching program
• Flexible work arrangements, including remote work options
• Access to a range of employee perks and discounts
• Opportunities for professional development and career growth

• *How to Apply**

If you're a motivated and experienced Full Stack Data Engineer looking for a new challenge, we'd love to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you!