Data Pipeline Specialist
3 days ago
This role involves working with distributed systems, designing and implementing data pipelines, and optimizing data delivery. The successful candidate will have 3+ years of experience in applied ML/AI engineering, 3+ years of experience in designing and managing distributed systems, and 3+ years of experience using Python or similar programming languages.
\Key Responsibilities\- \
- Design and implement data pipelines to transform data from various sources.\
- Assemble complex data sets that meet business requirements.\
- Optimize data delivery and redesign infrastructure for greater scalability.\
- Build analytics tools that provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.\\/ul>\Benefits\
- \
- A comprehensive benefits package, including medical, dental, and vision insurance.\
- Flexible work arrangements, including remote work options.\
- Professional development opportunities, including training and mentorship programs.\\/ul>\Requirements\
- \
- Bachelor's degree in Computer Science or related field.\
- 3+ years of experience in applied ML/AI engineering.\
- 3+ years of experience in designing and managing distributed systems.\
- 3+ years of experience using Python or similar programming languages.\
- Experience with CI/CD practices.\
- Experience with AWS technologies (Lambda, EMR, EC2, SQS, and RDS).\
- Proven experience with databases.\
- Familiarity with shell scripting using Bash or Zsh.\\/ul>\Salary Range\
The estimated salary range for this role is $88,000 to $173,200 annually, based on local labor markets, education, work experience, certifications, and other factors.
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