Wells Fargo Senior Data Engineer 

India, Karnataka, Bengaluru 

221031123

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:

• Experience in Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• experience in Data Ingestion, Data Curation, Data Extraction
• experience in development of data pipelines/ETL for data ingestion, data preparation, data integration, data aggregation, feature engineering, etc.
• Experience with Informatica, Talend or Ab Initio is required
• Experience with UNIX & PL-SQL scripting is required
• Strong experience in relational DBMS platforms, (DB2 or Oracle)
• strong experience in SQL and Data Analysis
• Strong understanding of unit testing, integration, functional and load testing.
• Ability to conduct code reviews with a focus on testability and code coverage.
• Should have experience working in an Agile environment using Scrum or Kanban.
• strong experience with Hadoop
• strong experience with Hive
• strong experience with Python
• experience with Kubernetes
• experience with Docker
• experience with Google Big Query
• experience with Autosys
• Good knowledge of non-relational DBMS platforms, (MongoDB or Neo4j)
• Good knowledge of real-time data streaming via Kafka
• Good knowledge of Cloud ecosystems such as Google Cloud Platform
• GCP Associate Cloud Engineer Certified is a plus
• Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.