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Wells Fargo
Wells Fargo

Leading company in the financial services industry

DCIM Engineer - Data Engineering

职能数据工程
级别中级
地点Bengaluru, India
方式现场办公
类型全职
发布1周前
立即申请

About this role:

Wells Fargo is seeking a Infrastructure Engineer.

In this role, you will:

  • Support initiatives that deliver workable end to end infrastructure solutions
  • Participate in test planning and execution
  • Communicate with end users to provide timely and accurate information and status updates
  • Design, build, enhance and integrate the infrastructure required to support various platforms and our business portfolio
  • Troubleshoot and resolve tickets during implementation of store networks
  • Troubleshoot and resolve first level network and wireless issues
  • Present recommendations for resolving ticket requests, and exercise some independent judgment while developing understanding of the process, policies and risk controls
  • Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
  • Interact with internal customers

Required Qualifications:

  • 2+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • Experience building and supporting production data pipelines.
  • Strong SQL and relational database experience.
  • Familiarity with ETL/ELT concepts and data validation practices.
  • Experience working with structured data formats and APIs.
  • Experience with Python, .NET, Java, or similar backend technologies.
  • Basic understanding of monitoring and alerting for data jobs.
  • Web development exposure (React, Angular, JavaScript) to understand downstream data usage.
  • Ability to support or collaborate on data‑driven web applications.
  • Exposure to DCIM, CMDB, BMS, telemetry, or infrastructure datasets.
  • Work Location
  • Bangalore / Hyderabad

Job Expectations: Data Pipeline Development

  • Build and maintain batch and near real‑time data pipelines for DCIM datasets.
  • Ingest data from operational systems, sensors, and external sources.
  • Ensure pipelines are reliable, repeatable, and recoverable.

Data Modeling & Storage

  • Implement relational data models supporting assets, racks, telemetry, and events.
  • Maintain reporting‑ready datasets with consistent structure and naming.
  • Assist with schema evolution under guidance from senior engineers.

Data Quality & Validation

  • Implement data validation and reconciliation checks.
  • Monitor pipeline health and data freshness.
  • Troubleshoot and resolve pipeline failures and data inconsistencies.

Performance & Optimization

  • Optimize SQL queries and data structures for performance.
  • Assist with indexing, partitioning, and basic tuning practices.
  • Support scaling efforts as data volumes increase.

Collaboration

  • Work closely with reporting/BI engineers to understand data consumption needs.
  • Collaborate with platform engineers and operations teams on data issues.
  • Document pipelines, datasets, and known dependencies.

Posting End Date:

30 May 2026

Job posting may come down early due to volume of applicants.We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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关于Wells Fargo

Wells Fargo

Wells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.

10,001+

员工数

San Francisco

总部位置

$163B

企业估值

评价

10条评价

3.7

10条评价

工作生活平衡

3.8

薪酬

3.2

企业文化

3.9

职业发展

3.1

管理层

3.4

72%

推荐率

优点

Good benefits and health coverage

Flexible schedules and work arrangements

Supportive team environment

缺点

Limited career advancement opportunities

High stress and overwhelming workload

Poor management and lack of direction

薪资范围

16个数据点

Mid/L4

Senior/L5

Mid/L4 · Lead Analytics Consultant

1份报告

$151,878

年薪总额

基本工资

$116,064

股票

-

奖金

-

$151,878

$151,878

面试评价

4条评价

难度

3.0

/ 5

时长

21-35周

录用率

25%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Behavioral Interview

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience