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Experienced Full Stack Data Engineer – Cloud Application Development at blithequark

Remote Full-time Live

Are you a highly skilled and experienced data engineer looking for a challenging and rewarding role in cloud application development? Do you have a passion for designing and implementing scalable and efficient data pipelines on AWS? If so, we invite you to join our team at blithequark as a Senior Data Engineer.

About blithequark

blithequark is a leading organization in the industry, committed to delivering exceptional customer experiences through innovative technology solutions. Our team is dedicated to living our core values of Care, Honesty, Strength, Worker Administration, and Collaboration, and we're passionate about empowering our employees to achieve their full potential. At blithequark, we believe that our people are our greatest asset, and we're committed to providing a supportive and inclusive work environment that fosters growth, learning, and success.

Job Summary

As a Senior Data Engineer at blithequark, you will play a critical role in designing, implementing, and maintaining our event-driven data pipelines on AWS. You will work closely with our cross-functional teams to understand and define data requirements, develop and deploy data pipelines, and ensure data quality and security. If you're a highly motivated and experienced data engineer with a passion for cloud application development, we encourage you to apply for this exciting opportunity.

Key Responsibilities

* Design, develop, and maintain event-driven data pipelines on AWS, including Amazon EventBridge, AWS Lambda, and AWS Step Functions

  • Collaborate with cross-functional teams to understand and define data requirements, develop data pipelines, and ensure data quality and security
  • Develop and implement data quality checks and monitoring to ensure data accuracy and integrity
  • Advance data pipelines for execution and cost optimization
  • 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 Amazon Kinesis to collect, process, and analyze streaming data

Advantages and Benefits

At blithequark, we offer a comprehensive benefits package that includes:

  • Competitive salary and bonus structure
  • 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 wellness programs to support physical, mental, and emotional well-being
  • Domestic and international flight privileges for employees and qualified family members
  • Professional development opportunities to achieve your long-term career goals
  • Inclusive and diverse work environment that fosters collaboration and innovation
  • Access to over 500 discounts, perks, and benefits through Deltaperks, including vehicle and lodging rentals, auto, home, and pet insurance, legal services, and childcare

What You Need to Succeed

* Bachelor's degree in computer science, data science, or a related field

  • Strong focus on health and safety of self, others, and personal data
  • Embraces diversity, inclusivity, and different perspectives

What Will Give You an Upper Hand

* 4+ years of experience in data engineering

  • Strong 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 highly motivated and experienced data engineer looking for a challenging and rewarding role in cloud application development, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! Apply for this job

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