Experienced Full Stack Data Engineer – Web & Cloud Application Development at careerzynith
**Job Description:**
About careerzynith
careerzynith is a leading global airline that connects people and cultures around the world. With a rich history dating back to 1924, we have grown to become one of the largest and most respected airlines in the world. Our commitment to excellence, innovation, and customer satisfaction has earned us a reputation as a leader in the aviation industry.
About the Role
We are seeking an experienced Full Stack Data Engineer to join our team at careerzynith. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining our event-driven data pipelines on AWS. You will work closely with our data scientists and engineers to understand and meet the data needs of our business, ensuring that our data is accurate, secure, and easily accessible.
Key Responsibilities
Design, develop, and maintain event-driven data pipelines on AWS, including Amazon EventBridge, AWS Lambda, and AWS Step Functions.
Work with data scientists and engineers to understand and meet the data needs of our business, ensuring that our data is accurate, secure, and easily accessible.
Implement data quality checks and monitoring to ensure data integrity and accuracy.
Develop and maintain personalization calculations using Python and Pydantic models.
Assemble and maintain DynamoDB tables and NoSQL databases.
Use Amazon Kinesis to collect, process, and analyze streaming data.
What You'll Need to Succeed
A bachelor's degree in computer science, data science, or a related field.
3+ years of experience in data engineering, with a strong focus on event-driven architectures and AWS services.
Strong understanding of AWS local event-driven services, including Amazon EventBridge, AWS Lambda, and AWS Step Functions.
Experience with data modeling, data quality, and data security.
Strong programming skills in Python, with experience in serverless architectures.
Excellent problem-solving and analytical skills, with the ability to work independently and as part of a team.
Preferred Qualifications
Master's degree in computer science, data science, or a related field.
4+ years of experience in data engineering, with a strong focus on event-driven architectures and AWS services.
Experience with personalization, Pydantic models, DynamoDB, and NoSQL databases.
Experience with Amazon Kinesis and streaming data processing.
About careerzynith's Culture and Benefits
At careerzynith, we value a culture of innovation, collaboration, and customer satisfaction. We offer a comprehensive benefits package, including:
Competitive salary and bonus structure.
401(k) with generous company matching.
Comprehensive health benefits, including medical, dental, and vision coverage.
Flexible work arrangements, including remote work options.
Professional development opportunities, including training and education programs.
Recognition and rewards programs, including employee recognition awards and bonuses.
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application today. We value a great attitude and a willingness to learn above all, so don't hesitate to apply even if you don't meet every single requirement.
Apply To This Job
Apply for this job
About careerzynith
careerzynith is a leading global airline that connects people and cultures around the world. With a rich history dating back to 1924, we have grown to become one of the largest and most respected airlines in the world. Our commitment to excellence, innovation, and customer satisfaction has earned us a reputation as a leader in the aviation industry.
About the Role
We are seeking an experienced Full Stack Data Engineer to join our team at careerzynith. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining our event-driven data pipelines on AWS. You will work closely with our data scientists and engineers to understand and meet the data needs of our business, ensuring that our data is accurate, secure, and easily accessible.
Key Responsibilities
Design, develop, and maintain event-driven data pipelines on AWS, including Amazon EventBridge, AWS Lambda, and AWS Step Functions.
Work with data scientists and engineers to understand and meet the data needs of our business, ensuring that our data is accurate, secure, and easily accessible.
Implement data quality checks and monitoring to ensure data integrity and accuracy.
Develop and maintain personalization calculations using Python and Pydantic models.
Assemble and maintain DynamoDB tables and NoSQL databases.
Use Amazon Kinesis to collect, process, and analyze streaming data.
What You'll Need to Succeed
A bachelor's degree in computer science, data science, or a related field.
3+ years of experience in data engineering, with a strong focus on event-driven architectures and AWS services.
Strong understanding of AWS local event-driven services, including Amazon EventBridge, AWS Lambda, and AWS Step Functions.
Experience with data modeling, data quality, and data security.
Strong programming skills in Python, with experience in serverless architectures.
Excellent problem-solving and analytical skills, with the ability to work independently and as part of a team.
Preferred Qualifications
Master's degree in computer science, data science, or a related field.
4+ years of experience in data engineering, with a strong focus on event-driven architectures and AWS services.
Experience with personalization, Pydantic models, DynamoDB, and NoSQL databases.
Experience with Amazon Kinesis and streaming data processing.
About careerzynith's Culture and Benefits
At careerzynith, we value a culture of innovation, collaboration, and customer satisfaction. We offer a comprehensive benefits package, including:
Competitive salary and bonus structure.
401(k) with generous company matching.
Comprehensive health benefits, including medical, dental, and vision coverage.
Flexible work arrangements, including remote work options.
Professional development opportunities, including training and education programs.
Recognition and rewards programs, including employee recognition awards and bonuses.
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application today. We value a great attitude and a willingness to learn above all, so don't hesitate to apply even if you don't meet every single requirement.
Apply To This Job
Apply for this job