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Sr Full Stack Engineer - LATAM
Latin America
At Gigster, whether working with entrepreneurs to realize 'the next great vision' or with Fortune 500 companies to deliver a big product launch, we build really cool solutions that make a difference! From blockchain to AI/ML to VR and more, Gigster builds enterprise software on cutting-edge technology.
We also help organizations thrive in the cloud, and we offer a wide range of services and technology platforms to help them accelerate and optimize their cloud journey. We heavily focus on lift & shift, cloud-native development, cloud cost optimization, and migration services.
Responsibilities
- Leading, planning, and implementing with team members and IT, data and cloud designs, given data sources, data locations, and use cases.
- Processing logs into data platforms, analytics, and custom visualizations for large-scale data analysis.
- Design and implement framework modules to extract data from various source systems, validate the integrity, apply business transformation, and store data in a Data Lake (AWS, Azure, others)
- Excellent English verbal and written communication skills.
- Familiarity with the three major Cloud Providers (AWS, Azure, and GCP) and their product suites.
Requirements:
- Significant experience (5+ years) managing complex software engineering projects as part of a consulting or professional services organization.
- Advanced knowledge of Python
- Experience building applications using React, Javascript
- Experience with Grafana, Kibana
- Experience with SQL, PySpark, and/or Pandas
Nice to Have:
-
Familiarity with computer architecture (ARM CPUs, GPUs)
Our recruitment process
- Recruiter interview (30 min)
- Technical interview (60 min)
- Hiring Manager interview (30 min)
We strive to move efficiently from step to step so that the recruitment process can be as fast as possible.
What we offer
- Totally remote, full-time (40h/week)
- Monday to Friday, Eastern Standard Time office hours
- Long-term, no end date independent contractor agreement
- Payment in USD, biweekly or monthly - your choice
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