Lead Software Engineer – Spark Data & Analytics

Key Skills

Apache Hive, Azure, Big Data Technology, Cloudera, Data Analytics, Data Architecture, Data Lake, Data science techniques, Design, Google Cloud Platform (GCP), Leadership Skill, Machine learning techniques, Management, PySpark, Python Programming, SPARK Programming

Job Description

The Lead Software Engineer – Spark Data & Analytics role will report to an Engineering Manager. The role will be responsible for providing technical expertise for the data engineering team, solution design for medium to complex data products, hands-on development of reusable frameworks, performing design and code reviews, driving and accelerating Data and Analytics Strategy & Roadmap across Consumer Technology.

Key responsibilities include:

• Implementing Data Strategy for private and public cloud
• Leading and perform current state data assessments, contribute to future state vision/strategy.
• Partnering with Enterprise Data Services organization on Enterprise Data Strategy
• Creating and manage reusable frameworks for data engineering and leverage common design patterns across traditional and bigdata solutions.
• Partnering with Enterprise data teams and Line of Business partners on customer-centric view of the data, data reuse, and data consistency across all customer interactions
• Collaborating with Enterprise Data organization on supplying and governing Consumer Lending data going into the Enterprise Data Lake
• Establishing processes and tools to support consistency, lineage, collection, processing, sharing, and organization of data across entire Consumer Lending portfolio.
• Establishing Consumer Lending wide data standards and governance. Manage data as a strategic asset and operationalize data governance, data quality, and controls across the organization.
• Driving consistency, efficiencies, and cost benefits through Data Integration practices and standards

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 4+ years of experience in the Data Engineering, Data Management, Spark, Python, and MPP/ETL
• 2+ year of experience creating or designing reusable product solutions.

Desired Qualifications:

• A Bachelor's and/ or Master’s Degree in Data Science, Statistics or relevant field
• 5+ years’ software engineering experience as well as demonstrated experience in Big Data Engineering, Application Support and/or Technology Operations
• 2+ years of technical leadership or architecture experience, in a data and technical environment
• 2+ years of experience with Agile practices
• 2+ years’ experience with Data architecture, design, and management
• Cloud certification
• Cloud experience with Azure or GCP
• End-to-End data, analytics and machine learning technology and business acumen including Data Warehousing, ODS, Big Data platforms and related technology stack such as Cloudera, Python, Spark, Hive and cloud native data capabilities.

Job Expectations:

• This is a hybrid working position in the approved location
• This position is not eligible for visa sponsorship

@RWF22

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.