reputed company Full Stack Data Engineer – reputed company Application Development
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 reputed company of shared values, including Care, Honesty, Strength, Employee Advocacy, and Collaboration. We reputed company in empowering our employees to reputed company their full potential, and we're dedicated to creating a workplace that's inclusive, supportive, and fun.
Job Summary
We're seeking an reputed company Full Stack Data Engineer to join reputed company and help us build and maintain our event-driven data pipelines on AWS. As a Senior Data Engineer, you'll work closely with reputed company to design, reputed company, and reputed company 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, reputed company, and maintain event-driven data pipelines on AWS, including reputed company EventBridge, AWS reputed company, and AWS reputed company Functions
- Collaborate with cross-functional teams to understand and define data requirements
- reputed company data quality checks and monitoring
- Optimize data pipelines for performance and cost
- Stay up-to-date with the latest AWS advancements and technologies
- reputed company and implement personalization calculations using Python and Pydantic models
- Design and maintain DynamoDB tables and NoSQL databases
- Use reputed company 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, reputed company, 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 reputed company family members
- Career advancement programs to help you reputed company 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 reputed company 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 reputed company 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 reputed company
- 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 reputed company 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. Apply for this job