**Experienced Full Stack Data Engineer – Cloud Application Development**

• *Join arenaflex in shaping the future of data-driven innovation**

At arenaflex, we're on a mission to revolutionize the way we approach data engineering, leveraging cutting-edge technologies to drive business growth and customer satisfaction. As a seasoned data engineer, you'll play a pivotal role in designing, building, and maintaining our event-driven data pipelines on AWS, collaborating with cross-functional teams to deliver high-quality solutions that meet the evolving needs of our customers.

• *About arenaflex**

arenaflex is a leading innovator in the industry, committed to living our core values of Care, Honesty, Strength, Worker Administration, and Collaboration. Our culture is built on a shared commitment to excellence, and we're dedicated to empowering our employees to achieve their full potential. By joining arenaflex, you'll become part of a dynamic community that values diversity, inclusivity, and continuous learning.

• *Key Responsibilities**

As a Senior Data Engineer at arenaflex, you'll be responsible for:

• Designing, building, and maintaining event-driven data pipelines on AWS, leveraging AWS local event-driven services such as Amazon EventBridge, AWS Lambda, and AWS Step Functions.
• Collaborating with cross-functional teams to understand and define data requirements, ensuring seamless integration with existing systems and applications.
• Conducting data quality checks and monitoring to ensure data accuracy and integrity.
• Optimizing data pipelines for execution and cost-effectiveness, staying up-to-date with the latest AWS advancements and best practices.
• Developing and implementing personalization calculations using Python and Pydantic models.
• Designing and maintaining DynamoDB tables and NoSQL databases.
• Utilizing Amazon Kinesis to collect, process, and analyze streaming data.

• *Advantages and Benefits**

At arenaflex, we're committed to providing a comprehensive benefits package that supports your physical, emotional, and financial well-being. Some of the benefits you can expect include:

• Competitive salary and industry-leading profit-sharing program.
• 401(k) with generous company matching up to 9%.
• Paid time off, including vacation, holidays, and paid personal time.
• Comprehensive health benefits, including medical, dental, vision, short-term and long-term disability, and life insurance.
• Family care support through fertility assistance, surrogacy and adoption support, lactation support, and sponsored backup care.
• Access to a robust employee assistance program offering support for yourself and your family, free financial education, and extensive resources for mental health and wellness.
• Domestic and international flight privileges for employees and qualified family members.
• Professional development opportunities to achieve your long-term career goals.
• Inclusive and diverse work environment that values community engagement and sustainability initiatives.
• Recognition rewards and grants through our employee recognition platform, Relentless Together.
• Access to over 500 discounts, specialty savings, and deliberate benefits through Deltaperks, including vehicle and lodging rentals, auto, home, and pet insurance, legal services, and childcare.

• *What You Need to Succeed**

To be successful in this role, you'll need:

• A strong focus on the health and safety of yourself, others, and sensitive information.
• An ability to work collaboratively with diverse individuals, thinking, and styles.

• *What Will Give You an Upper Hand**

While not required, the following qualifications will give you a competitive edge:

• Four-year degree in computer science, data science, or a related field.
• 3+ years of experience in data engineering.
• Strong understanding of AWS local event-driven services.
• Experience with data modeling, data quality, and data security.
• Experience with Python and serverless technologies.
• Excellent critical thinking and problem-solving skills.
• Ability to work independently and as part of a team.
• Experience with personalization, Python, Pydantic models, DynamoDB, and NoSQL.
• Experience with Amazon Kinesis.

• *Join the arenaflex Team**

If you're a motivated and experienced data engineer looking for a challenging and rewarding role, we encourage you to apply. At arenaflex, we're committed to creating a diverse and inclusive work environment that values continuous learning and growth. Apply now to become part of our dynamic team and help shape the future of data-driven innovation.