Experienced Full Stack Data Engineer – Cloud Application Development at careerzynith

Remote Full-time
Are you a highly skilled and experienced data engineer looking for a new challenge? Do you have a passion for building and maintaining complex data pipelines on cloud platforms? Look no further than careerzynith, a leading company in the industry, where we're seeking a talented Full Stack Data Engineer to join our team.

**About careerzynith**

careerzynith is a dynamic and innovative company that's revolutionizing the way we think about data management and cloud computing. With a strong commitment to excellence and a passion for pushing the boundaries of what's possible, we're constantly seeking out talented individuals who share our vision and values. Our company culture is built on a foundation of collaboration, innovation, and a shared commitment to making a real impact.

**Job Summary**

We're seeking a highly skilled and experienced Full Stack Data Engineer to join our team at careerzynith. As a key member of our data engineering team, you'll be responsible for designing, building, and maintaining complex data pipelines on cloud platforms, including AWS. You'll work closely with our cross-functional teams to understand and meet the data needs of our business, and will be responsible for ensuring the quality, security, and scalability of our data systems.

**Key Responsibilities**

* Design, build, and maintain complex data pipelines on AWS, including Amazon EventBridge, AWS Lambda, and AWS Step Functions
* Work with cross-functional teams to understand and meet the data needs of our business
* Perform data quality checks and monitoring to ensure the accuracy and integrity of our data systems
* Advance data pipelines for execution and cost optimization
* Stay up-to-date on 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 careerzynith, we're committed to creating a work environment that's supportive, inclusive, and empowering. We believe that our employees are our greatest asset, and we're dedicated to providing them with the resources, training, and opportunities they need to succeed. Some of the benefits and advantages of working at careerzynith include:

* 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, and personal days
* 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 programs that support families 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 a range of resources supporting mental health
* Domestic and international flight privileges for employees and qualified family members
* Career advancement opportunities to achieve your long-term career goals
* Inclusive and diverse work environment that values and celebrates individual differences
* Recognition rewards and grants through our employee recognition program, 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 to have:

* A strong focus on the health and safety of yourself, others, and individual data
* An ability to work collaboratively with diverse individuals, thinking, and styles

**What Will Give You an Upper Hand**

While a bachelor's degree in computer science, data science, or a related field is required, we're looking for candidates with:

* 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 a motivated and talented data engineer looking for a new challenge, we encourage you to apply! Even if you feel you're not a perfect match, we'd still love to hear from you. We're looking for great people to join our friendly team.

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