Job Description
At arenaflex, we're on a mission to revolutionize the way we approach data engineering. As a
Senior Data Engineer, you'll play a critical role in designing and implementing our event-driven data pipelines on AWS. If you're passionate about working with cutting-edge technologies and collaborating with a talented team, we want to hear from you. About arenaflex arenaflex is a leading organization in the industry, committed to delivering exceptional experiences to our customers. Our culture is built on a foundation of shared values, including Care, Honesty, Strength, Employee Advocacy, and Collaboration.
We believe in empowering our employees to achieve their full potential, and we're dedicated to creating a workplace that's inclusive, supportive, and fun. Job Summary We're seeking an experienced Full Stack Data Engineer to and help us build and maintain our event-driven data pipelines on AWS. As a
Senior Data Engineer, you'll work closely with our team to design, develop, and deploy scalable and efficient data pipelines that meet the needs of our business. You'll have the opportunity to work with a wide range of technologies, including AWS local event-driven services, Python, NoSQL, and Kinesis.
Key Responsibilities * Design, develop, and maintain event-driven data pipelines on AWS, including bolthires EventBridge, AWS Lambda, and AWS Step Functions * Collaborate with cross-functional teams to understand and define data requirements * Perform data quality checks and monitoring * Optimize data pipelines for performance and bolthires * Stay up-to-date with the latest AWS advancements and technologies * Develop and implement personalization calculations using Python and Pydantic models * Design and maintain DynamoDB tables and NoSQL databases * Use bolthires Kinesis to collect, process, and analyze streaming data Advantages and Benefits At arenaflex, we offer a comprehensive benefits package that includes: * 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 * Maternity and parental leave * Comprehensive health benefits, including medical, dental, vision, short-term and long-term disability, and life insurance * Family care support through fertility benefits, surrogacy and adoption support, lactation support, and sponsored backup care * Comprehensive Well-being programs to support physical, mental, social, and financial well-being, including access to a employee assistance program, free financial education, and a wide range of resources supporting mental health * Domestic and international 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 initiatives focused on sustainability and reducing our carbon footprint * Business Asset Groups to connect employees with shared interests and promote diversity, equity, and inclusion * Recognition rewards and grants through the Relentless Together platform * 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 * A strong focus on the health and safety of yourself, others, and individual data * An ability to work effectively with diverse individuals, thinking, and styles What Will Give You an Edge * A four-year 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 bolthires Kinesis If you're passionate about data engineering and want to join a dynamic team that's changing the way we approach data, we encourage you to apply.