Senior Big Data Operations Engineer (002482)

Wells Fargo Bank•Charlotte, NC
•Hybrid

About The Position

Wells Fargo Bank N.A. is seeking a Senior Big Data Operations Engineer in Charlotte, North Carolina, to support Risk Data Services (RDS). RDS is an on-premises, multi-tenant big data platform hosted on Hortonworks. It provides integrated data and compute, storage, tools, and capabilities for risk teams to build and manage data assets supporting risk management, monitoring, and reporting. The engineer will lead moderately complex technical initiatives, contribute to strategy and planning, and design, code, test, debug, and document technology projects, upgrades, and deployments. The role evaluates and resolves technical challenges, supports client and tenant needs, and provides guidance to less experienced staff. Responsibilities include helping application tenant teams configure compute queues and storage, onboard and process data through jobs, and resolve process or service issues with end-to-end support in the big data environment. The role also supports migration from current infrastructure to new data centers, including planning and designing tenant migrations, meeting timelines, and supporting legacy environments. Telecommuting is permitted up to two days per week, but the employee must appear in person at the listed work location. Travel required: 0%.

Requirements

  • Bachelor’s degree in Electronic Engineering or a related technical field.
  • Four years of experience in the job offered or a related position involving software engineering.
  • Four years of hands-on experience with Hadoop.
  • Four years of experience with MongoDB.
  • Three years of experience with Python, Unix/Shell scripting, or Spark.
  • Three years of experience with Autosys.
  • Two years of experience with Dremio.
  • Two years of experience setting up monitoring dashboards through Grafana or Prometheus.
  • One year of experience with Kubernetes.
  • One year of experience with Azure or GCP.

Responsibilities

  • Lead moderately complex initiatives and deliverables in technical domain environments and contribute to large-scale strategy planning.
  • Design, code, test, debug, and document projects and programs, including technology upgrades and deployments.
  • Evaluate and resolve moderately complex technical challenges involving technologies and procedures.
  • Resolve technical issues and lead a team in meeting existing or potential client needs.
  • Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals.
  • Lead projects, act as an escalation point, and provide guidance and direction to less experienced staff.
  • Help application tenant teams set up compute queues and storage, bring in data, and process it through jobs.
  • Provide end-to-end support for issues involving processes or services in the big data environment.
  • Support migration from current infrastructure to new data centers by helping design and migrate tenant teams within specified timelines, while supporting legacy environments.
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