Senior Data Engineer-ETL

Wells Fargo & Company - Institutional Retirement & Trust business

Charlotte, NC

Full Time

Senior

84k-149k

24 days ago

Job Description

About the Role

The Wealth Management Data Solutions (WMDS) organization provides direct technology support for core engineering products, operational data products and data analytics. It develops and drives engineering strategy, while enabling tech transformation by partnering closely with WIM product groups. With 300+ staff members across the US and India, Data Solutions is on a mission to modernize its technology and build stronger, more agile scrum teams. We are seeking world-class talent, like you, to help deliver innovative solutions and to drive that transformation. If you're passionate about tackling complex challenges and advancing technology, we invite you to join us in shaping the future of data-driven solutions.

Key Responsibilities

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

Requirements

4+ years of Data Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
4+ years of experience in ETL development with data pipeline design and implementation skills
2+ years of experience working with Hadoop and Hive
2+ years of experience in shell scripting for automation and system tasks
2+ years of experience with Autosys or similar job scheduling tools

Nice to Have

GCP Certification
2+ years of Python programming experience, preferably in data engineering or automation contexts
2+ years of experience with Apache Spark for large-scale data processing
2+ years of experience implementing Kafka based solutions

Qualifications

Educational background or formal qualifications are not explicitly specified in the description

Benefits & Perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Working at Wells Fargo & Company - Institutional Retirement & Trust business

Wells Fargo values building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture. Employees are accountable for executing risk programs, following policies and procedures, and making sound risk decisions. The company emphasizes proactive monitoring, governance, risk identification and escalation, fostering a disciplined and responsible work environment.

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