Lead Data Engineer

About this role:

Wells Fargo is seeking a Lead Data engineer.

In this role, you will:

• Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Technology area
• Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership
• Review and analyze complex software enhancement initiatives for business, operational or technical improvements that require in depth evaluation of multiple factors including intangibles or unprecedented factors
• Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change
• Strategically collaborate and consult with internal partners to resolve highly risky data engineering challenges

Required Qualifications:

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

Desired Qualifications:

• Strong application Development/Maintenance experience
• User support and communication skills
• Should have good onsite-offshore experience
• Must be a good independent contributor to the team
• Good experience on Informatica.
• UNIX and Shell Scripting.
• Advanced SQL Knowledge.
• Hands on experience on DB2/Oracle.
• Good experience in handling very large database (VLDB)
• Good experience in Autosys or any Batch monitoring tool.
• Strong communication skills, problem solving, and organizational skills
• Experience with working with data quality concepts
• Experience with working with metadata and data lineage concepts
• Support project experience is an added advantage.
• Should have good knowledge on Design and Build ETL solutions

Role:Data Engineer

Industry Type:IT Services & Consulting

Department:Data Science & Analytics

Employment Type:Full Time, Permanent

Role Category:Data Science & Machine Learning

Education

UG:Any Graduate

PG:Any Postgraduate