GCP CloudOps Engineer

2 weeks ago

Maryland Heights, United States neteffects Full time

W2 Candidates Only Please.......we can not use C2C for this position


Very Long Term Contract position (starts as 12+ months, but will most likely be a few years in duration


Rate: $90-95/hr. W2 with benefits/PTO


GCP CloudOps Engineer (with Application Deployment and Data intensive environment experience using BigQuery)

Team:

  • Focus is mainly on building data pipelines and solutions for environmental data sets
  • Will be only person in this role on the team (other data engineers and data stewards on the sub team). There are other people in this role/peers in other teams doing the same role they will be able to speak with. But expectations is to complete the needs independently for this team.


Role:

  1. Mainly work on deploying and maintain cloud infrastructures.
  2. Adding observabilities to their pipelines & services
  3. ID opportunities for workflow optimization & cloud cost effectiveness/savings.
  4. Implementing the CI/CD pipelines for their data pipelines


  • Cloud: GCP preferred, will be expanding footprint in GCP for a bunch of projects.
  • GCP is their preference. AWS acceptable. If you have two equal profiles in all the skills, they will select GCP proficiency over AWS.
  • Experience with mutli cloud preferable (GCP/AWS preferred)
  • IaC - Terraform
  • Programming – Golang and/or Python – used for automation.
  • Golang preferred (working on a lot of google resources; native lang. to be able to write automation for a bunch of stuff they are working on)
  • Python also preferred.
  • Bash – write command lines, etc
  • Containerization: apps deployed in Docker, and Kubernetes (orchestration)
  • Not a software dev but need to be able to develop automation or implement automation.
  • Monitoring and adding observability to their services is critical function – proficiency in tool needed. Grafana, Prometheus, etc.
  • Build the baseline then identify the SLI, and build things SLO, SLA’ to commit to customer.
  • Security principles – building secure and compliant solution.


DATA Background:

  • Extensive cloud infrastructure mgmt. in a data intensive environment (bc they are data engineering team.)


THIS MEANS:

  • Work experience handling terabytes or petabytes of the data; magnitude of data. The solution will be different in terms of processing big data as opposed to dealing with mega or gigabytes of data.
  • 2Modern data processing technologies or data pipelines or workflows involved. Meaning: data coming from various different sources such as data collected by IoT, and there are things like data streaming, data ingestion, data pipelining involved.


SCALE MATTERS & PERFORMANCE MATTERS ^ there are different solutions for huge data and working with modern data processing technologies.

  • Background in data environment & familiar w Data Engineering concepts.
  • A lot of data products in CS Warehouse built on top of Google Big Query
  • A lot of the data pipelines or services will have the input/output connection with data warehouse so that’s where a basic understanding of SQL is required.
  • SQL: be able to manipulate or build automation scripts using sql
  • Know how SQL and Kafka works; concepts.
  • 7 years exp
  • Strong Communication: Ability to articulate technical concepts: What is your choice of technology and be able to provide the reasons as to why for technical decisions.


Desirable:

  • Domain: Geospatial tools, or working with geospatial data or environmental or Ag data
  • Machine learning – exploring some projects around building some analytics solutions feature engineering to support the modeling teams.
  • Data preprocess – like feature engineering , preparing data

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