**Experienced Full Stack Data Engineer – Cloud-Based Data Pipelines and 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 our data architecture and pipelines, leveraging cutting-edge technologies to drive business insights and decision-making.

• *Job Summary:**

We're seeking an experienced Full Stack Data Engineer to join our team at arenaflex. As a Senior Information Designer, you'll be responsible for designing and executing ETL/ELT data pipelines, data set mapping/tables/perspectives, and building batch processes using Wind current for various projects. You'll collaborate with our Studios or Project Innovation colleagues in data requirements gathering, data approval pre-planning and review, creating and checking ETL/ELT data pipelines, and planning and executing data set diagram/tables/views across multiple environments like DEV, QA/UAT, and Prod.

• *About arenaflex:**

arenaflex is a leading innovator in the private sector, dedicated to pushing the boundaries of data-driven innovation. Our team of experts is passionate about harnessing the power of data to drive business growth, customer satisfaction, and operational excellence. We're committed to fostering a culture of collaboration, innovation, and continuous learning, where our employees can grow and thrive.

• *Key Responsibilities:**

• Design and execute ETL/ELT data pipelines using Wind current for various projects
• Collaborate with Studios or Project Innovation colleagues in data requirements gathering, data approval pre-planning and review, creating and checking ETL/ELT data pipelines, and planning and executing data set diagram/tables/views across multiple environments like DEV, QA/UAT, and Prod
• Use a wide range of technologies to satisfy the work, including but not limited to SQL, Python, Docker, Gitlab, Wind stream, Snowflake, Looker, and PostgreSQL
• Participate in driving best practices around data designing software development processes
• Work with huge datasets and large data advances, ideally cloud-based, like Snowflake, Databricks, or similar
• Collaborate with cross-functional teams to design and implement data-driven solutions

• *Essential Qualifications:**

• 2+ years of experience with SQL
• 2+ years of experience designing, building, and maintaining ETL/ELT data pipelines
• 2+ years of experience with cloud-based advances, ideally AWS and S3
• 3+ years of experience in an Information Designing role
• SQL, Python, Gitlab, Wind stream, AWS S3, and Social Data sets
• 2+ years of experience working with a cloud stage
• 2+ years of experience working with data lakes, data warehouses, and application data sets
• Experience using Apache Wind current, Databricks
• 2+ years of experience using, designing, and building social information bases
• 2+ years of experience using Gitlab/Github
• 2+ years of experience using Docker
• Experience working with huge datasets and large data advances, ideally cloud-based, like Snowflake, Databricks, or similar

• *Preferred Qualifications:**

• Experience with Wind current, Gitlab, Snowflake, Scene
• Graduate degree in Software engineering, Science, Designing, or a connected field
• Experience in streaming, media, or digital marketing area

• *What We Offer:**

• Competitive salary: $28/hour
• Comprehensive benefits package, including medical, dental, and vision insurance
• Generous paid time off and holidays
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Access to cutting-edge technologies and tools
• Recognition and rewards for outstanding performance

• *What You'll Get:**

• The opportunity to work with a talented team of data experts
• The chance to design and implement innovative data solutions
• The ability to work with a wide range of technologies and tools
• The opportunity to grow and develop your skills and expertise
• A dynamic and collaborative work environment

• *How to Apply:**

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