Senior Data Engineer

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.