Overview
ClearScale is looking for a Cloud Graph Data Engineer to participate in building cost-efficient scalable data lakes for a wide variety of customers, from small startups to large enterprises.
Typical projects fit into several categories (not limited to them):
- Collect data from IoT edge locations, store it in the Data Lake, orchestrate processes to ETL that data, slice it into the various data marts, and put those data marts into machine learning or BI pipelines.
- Optimize pre-existing Spark clusters, identify bottlenecks in code or architecture, and plan and execute improvements.
- Build a data delivery pipeline to ingest high-volume real-time streams, detect anomalies, perform window analytics, and store results in NoSQL for dashboard consumption.
What you will do on a daily basis
- Analyze, scope, and estimate tasks, identify technology stack and tools.
- Design and implement optimal architecture and migration plans.
- Develop new and re-architecture solution modules, redesign and refactor program code.
- Examine performance and advise necessary architecture changes.
- Communicate with the client on project-related issues.
- Collaborate with in-house and external development and analytical teams.
Candidate requirements
ClearScale expects a successful candidate to have most of the following qualifications and skills (not all have to be present):
- 1+ years of AWS hands-on experience.
- 3-6 years of experience in Data, Cloud, or Software Engineering, with a degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- 1+ year hands-on experience with Amazon Neptune or Neo4j.
- 1+ year hands-on experience with Python.
- 1+ year hands-on experience with Gremlin or SPARQL.
- Practical experience in implementing microservices architectures (using Python, Java, or Scala).
Additionally, it would make us smile even more if you have:
- 1+ years of hands-on SQL experience.
- AWS certifications, especially AWS Machine Learning Specialty.
- Hands-on experience designing efficient architectures for high-load enterprise-scale applications or “big data” pipelines.
- Hands-on experience with general AWS infrastructure components.
- Hands-on experience with message queuing, stream processing, and highly scalable “big data” stores.
- Knowledge and experience working with SQL and NoSQL databases.
- Proven experience in redesigning and re-architecting large, complex business applications.
- Strong self-management and self-organizational skills.
ClearScale can be a great fit for you if
- You would like to work remotely with a flexible schedule.
- You thrive in a small, dynamic, and agile team that encourages you to learn and grow.
- You enjoy finding solutions to interesting problems and figuring out how things work.
- You welcome autonomy with complex tasks.
- You are passionate about using your experience and expertise to inspire the team.
We offer
- Fair wage: High hourly rate in USD. Full-time, 40 hours per week contract. It is your main and permanent place of work, not a freelance job.
- Payments every 2 weeks; Annual Rate Review; Referral program.
- Independence: Remote work with fast and reliable internet; we are a community of professional engineers and one of AWS’s top 10 key partners.
- Professional Development: Work with innovative Silicon Valley and traditional American companies; access to the newest AWS cloud and open-source tools; paid AWS certifications (training material, paid time off, and examination).
About ClearScale
ClearScale (headquartered in San Francisco, California, USA) is an AWS Premier Consulting Partner with over 10 years of experience offering cloud computing services, including architecture design, DevOps automation, refactoring and cloud-native applications development, integration, migration, security, and 24/7 technical support. We work 100% remotely from various cities and countries, based on trust and a strong professional reputation.