Join careerzynith and embark on a thrilling journey as a Senior Data Engineer, working from the comfort of your own home. With a competitive hourly rate of $26, this is an opportunity you won't want to miss!

About careerzynith

careerzynith is a leading organization in the private sector, dedicated to providing exceptional services to our customers. We are a team of passionate individuals who strive to make a difference in the world, one innovation at a time. Our culture is built on the values of Care, Honesty, Strength, Worker Administration, and Collaboration, which guide our every move.

Job Description

We are seeking a highly skilled and experienced Senior Data Engineer to join our team and help us build and maintain our event-driven data pipelines on AWS. The ideal candidate will have a deep understanding of AWS local event-driven services, such as Amazon EventBridge, AWS Lambda, and AWS Step Functions. They will also have experience with data engineering best practices, including data visualization, data quality, and data security. Additionally, the candidate should have experience with Python, NoSQL, and Kinesis.

Key Responsibilities

* Design, develop, and maintain event-driven data pipelines on AWS

• Collaborate with partners to understand and define data requirements
• Perform data quality checks and monitoring
• Optimize data pipelines for execution and cost
• Stay up-to-date on the latest AWS advancements
• Develop and implement personalization algorithms 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 careerzynith, we believe in investing in our employees' growth and well-being. Our culture is built on a shared commitment to living our values, and we offer a range of benefits to support your success.

• Competitive salary, industry-leading profit-sharing program, and performance incentives
• 401(k) with generous company contributions up to 9%
• Paid time off, including vacation, holidays, 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 assistance, surrogacy and adoption support, lactation support, sponsored backup care, and programs that help with family members at all stages
• Comprehensive Well-being programs to support physical, personal, social, and financial well-being, including access to a employee assistance program offering support for yourself and anyone in your family, free financial education, and broad resources supporting mental health
• Domestic and global flight privileges for employees and qualified family members
• Career advancement programs to 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 to promote inclusion, provide perspective, and help implement procedures
• Recognition rewards and grants through the platform Relentless Together
• Access to over 500 discounts, specialty savings, and deliberate benefits through Deltaperks like vehicle and lodging rentals and auto, home, and pet insurance, legal services, and childcare

What You Need to Succeed (Minimum Qualifications)

* Focuses on the health and safety of self, others, and personal data

• Embraces diverse individuals, thinking, and styles

What Will Give You an Upper Hand (Preferred Qualifications)

* Four-year degree in software engineering, data science, or a related field

• 3+ years of experience in data engineering
• Strong understanding of AWS local event-driven services
• Experience with data visualization, 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 a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your application through the link below. Apply for this job