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203 Wells Fargo Jobs

Senior Technology & Data Engineer

4-6 years

Hyderabad / Secunderabad

Senior Technology & Data Engineer

Wells Fargo

posted 11hr ago

Job Role Insights

Flexible timing

Job Description

About this role:

Wells Fargo is seeking a Senior Data Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow.


In this role, you will:

  • Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
  • Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
  • Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
  • Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
  • Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
  • Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals


Required Qualifications:

  • 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education


Desired Qualifications:

  • A bachelors degree or higher in computer science
  • 4+ years of software engineering experience Default Required
  • 4+ years of working experience in Data Ingestion, Data Curation, Data Extraction
  • 4+ years of experience working on Basic spark (Spark architecture, Spark JDBC) and SQL Server
  • 3+ years of experience with SQL & NOSQL database integration with Spark (MS SQL server and MongoDB)
  • Working experience in Unix, GitHub (any version mgmt), Autosys, DevOps
  • Working experience working on performance optimization in SQL Server and Spark
  • 2+ years of Agile experience


Job Expectations:

  • Understanding of distributed systems (CAP theorem, partition and bucketing, replication memory layouts, consistency)
  • Understanding of cloud-ready enterprise solutions in one or a combination of the following: Amazon Web Services (AWS), Google Cloud Platform (GCP) or Pivotal Cloud Foundry (PCF)
  • Knowledge of Python, Apache Kafka, or Confluent Enterprise
  • Ability to work effectively, as well as independently, in a team environment.

Employment Type: Full Time, Permanent

Read full job description

Wells Fargo Interview Questions & Tips

Prepare for Wells Fargo Data Engineer roles with real interview advice

Top Wells Fargo Data Engineer Interview Questions

Q1. Detect the First Node of the Loop in a Singly Linked List You are provided with a singly linked list that may contain a cycle. Your task is ... read more
Q2. How have you implemented dependency injection in your .NET Core projects? How have you used the Razor engine to build dynamic views in your ... read more
Q3. How have you handled security in your Angular and .NET Core applications, such as implementing JWT or OAuth authentication?
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What people at Wells Fargo are saying

Data Engineer salary at Wells Fargo

reported by 60 employees with 5-12 years exp.
₹8 L/yr - ₹31.6 L/yr
90% more than the average Data Engineer Salary in India
View more details

What Wells Fargo employees are saying about work life

based on 6.5k employees
58%
92%
76%
66%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Wells Fargo Benefits

Submitted by Company
Education benefits
Well-being
Paid time off
Submitted by Employees
Free Transport
Health Insurance
Cafeteria
Gymnasium
Work From Home
Team Outings +6 more
View more benefits

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