Offer summary

Qualifications:

Experience in Site Reliability Engineering (SRE) with a focus on monitoring and deploying in production environments., Familiarity with big data technologies such as Hadoop, Spark, or Hive., Proficient in data processing, data modeling, and ETL processes., Knowledge of Linux, containerization, and orchestration tools like Kubernetes and Airflow..

Key responsabilities:

Monitor data systems and manage resource allocation, system upgrades, and user access control.

Troubleshoot complex system issues including software bugs, hardware failures, and network problems.

Develop tools and automation to enhance operational efficiency.

Handle deployments and participate in on-call duties for system reliability.

We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile. The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization. We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market. At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.

Job description

Job Title: SRE w/ Big Data

Location: New York, LA, San Francisco (remote)
Duration: 12 months +
Hours: PST
Rate: $Market All Inclusive on W2

Top Skills:
SRE - monitoring & deploying in a production environment
Need some big data experience - Hadoop, spark or Hive
Video storage & playback

ETL
Data Lake
data processing
data modeling

Responsibilities
• Data Systems monitoring, provide resource allocation, system upgrades, user access control etc., deployments, on-call, automating processes etc
• Perform deep dives on complex system issues ranging from software bugs, hardware failures to network issues
• Build tools and automation to improve the operational efficiency

• Linux
• OCI (Oracle Cloud)
• K8s
• Terraform
• NoSQL
• containerization (docker, podman)
• data lake (S3)
• orchestration tools (like airflow)
• encryption techniques

Required profile