Onlano
Data ScienceOnsite

Senior Data Engineer

WELLS FARGO BANK - Company

Hyderabad, Telangana, ๐Ÿ‡ฎ๐Ÿ‡ณ IndiaFull-time - Senior (4-7 years)0 applicantsCloses Jun 21, 2026

Salary

CHECK DESCRIPTION

Apply for this job

Job description

Job details

  • Location: Hyderabad, Telangana
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

Wells Fargo Bank is hiring a Senior Data Engineer in Hyderabad, Telangana for a full-time, onsite position. This senior-level role focuses on building and maintaining enterprise-scale data processing frameworks and optimized data pipelines that enable advanced analytics and reporting across the organization. The position offers the opportunity to lead moderately complex technology initiatives and contribute to enterprise strategy deliverables. Salary details are available in the employer description.

Job details

This is a full-time, onsite position based in Hyderabad, Telangana, India. The Senior Data Engineer will work on-site at Wells Fargo's Hyderabad office, leading data infrastructure projects and collaborating with cross-functional teams to deliver scalable data solutions.

Responsibilities

  • Lead moderately complex technology initiatives aligned with enterprise strategy
  • Build and maintain optimized, highly available data pipelines for analytics
  • Design large-scale data processing frameworks for enterprise use
  • Review and analyze complex business and technical challenges requiring in-depth evaluation
  • Facilitate deeper analysis and reporting through robust data infrastructure
  • Collaborate with stakeholders to deliver scalable data solutions

Requirements

  • 4-7 years of experience in data engineering or related field
  • Strong expertise in building and optimizing data pipelines
  • Proficiency in SQL, Python, and big data technologies
  • Experience with large-scale data processing frameworks
  • Ability to analyze complex technical and business challenges
  • Strong problem-solving and communication skills

Benefits

  • Work with a leading global financial institution
  • Contribute to enterprise-level data strategy
  • Professional development opportunities
  • Collaborative team environment

Keywords

Data EngineeringETLData PipelinesBig DataSQLPythonData ArchitectureAnalyticsCloud Platforms