Lead Data Data - Engineer

About this role:

Wells Fargo is seeking a Lead 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 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:

• A bachelors degree or higher in computer science
• 5+ years of software engineering experience Default Required
• 5+ years of experience working in Spark, Hadoop and Big Data experience
• 5+ years of experience working on Spark SQL, Streaming and data frame/dataset API experience
• 3+ years of experience working on Spark query tuning and performance optimization
• Deep understanding of Hadoop Cloud platforms, HDFS, ETL/ELT process and Unix shell scripting
• 5+ years of experience working with Relationship Database Management Systems (RDBMS) such as SQL Server, Oracle or MySQL
• 3+ years of experience with SQL & NOSQL database integration with Spark (MS SQL server and MongoDB)
• 2+ years of Agile experience
• Deep understanding of distributed systems (CAP theorem, partition and bucketing, replication memory layouts, consistency) 3+ years of microservices development experience
• 3+ years of experience building 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)
• 2+ years of experience with Apache Kafka or Confluent Enterprise

Job Expectations:

• Ability to work effectively, as well as independently, in a team environment