Experienced Full Stack Data Engineer – Cloud Application Development

At arenaflex, we're on a mission to revolutionize the way we approach data engineering, and we're looking for a talented and experienced professional to join our team as a Senior Data Engineer. As a key member of our data engineering team, you'll play a critical role in designing, building, and maintaining our event-driven data pipelines on AWS. If you're passionate about data engineering, cloud computing, and innovation, we want to hear from you.

About arenaflex

arenaflex is a leading company in the industry, known for our commitment to excellence, innovation, and customer satisfaction. Our team is passionate about using technology to solve real-world problems and make a positive impact on people's lives. We're proud of our diverse and inclusive culture, and we're always looking for talented individuals who share our values and vision.

Job Summary

As a Senior Data Engineer at arenaflex, you'll be responsible for designing, building, and maintaining our event-driven data pipelines on AWS. You'll work closely with our data science team to understand and define data requirements, and collaborate with our engineering team to ensure seamless integration with our cloud-based applications. Your expertise in data engineering, cloud computing, and AWS services will be essential in driving our data-driven initiatives and delivering business value to our customers.

Key Responsibilities

* Design, build, and maintain event-driven data pipelines on AWS, using AWS local event-driven services such as Amazon EventBridge, AWS Lambda, and AWS Step Functions.

• Collaborate with our data science team to understand and define data requirements, and work with our engineering team to ensure seamless integration with our cloud-based applications.
• Perform data quality checks and monitoring to ensure data accuracy and integrity.
• Advance data pipelines for execution and cost optimization.
• Stay up-to-date with the latest AWS advancements and technologies.
• Develop and implement personalization calculations using Python and Pydantic models.
• Build and maintain DynamoDB tables and NoSQL databases.
• Use Amazon Kinesis to collect, process, and analyze streaming data.

Advantages and Benefits

At arenaflex, we're committed to creating a work environment that's inclusive, supportive, and empowering. We believe that our employees are our greatest asset, and we're dedicated to providing them with the resources, opportunities, and recognition they deserve. Here are some of the benefits and advantages you can expect as a member of our team:

• Competitive salary, industry-leading profit-sharing program, and performance incentives.
• 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, sponsored back-up care, and programs that support family members at all stages.
• Comprehensive wellness programs to support physical, mental, social, and financial well-being, including access to a employee assistance program, free financial education, and extensive resources supporting mental health.
• Domestic and global flight privileges for employees and qualified family members.
• Career advancement programs to help you achieve your long-term career goals.
• Opportunities to participate in community service and innovative projects focused on sustainability and reducing our carbon footprint.
• Business resource groups to connect employees with shared interests, provide perspective, and help implement procedures.
• Recognition rewards and grants through the Relentless Together platform.
• Access to over 500 discounts, specialty savings, and deliberate benefits through Deltaperks, including car and hotel rentals, auto, home, and pet insurance, legal services, and childcare.

What You Need to Succeed

* A strong focus on health and safety of self, others, and personal data.

• An ability to work with diverse individuals, perspectives, and styles.

What Will Give You an Upper Hand

* A bachelor's degree in computer science, data science, or a related field.

• 3+ years of experience in data engineering.
• A solid 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.

How to Apply

If you're passionate about data engineering, cloud computing, and innovation, and you're looking for a challenging and rewarding career opportunity, we want to hear from you. Please submit your application, including your resume and a cover letter, through our website. We can't wait to hear from you! Apply for this job