Data Consultant

About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $2.0 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more than 8,500 locations, 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 42 countries and territories to support customers who conduct business in the global economy. With approximately 273,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 25 on Fortune's 2017 rankings of America's largest corporations. Wells Fargo's vision is to satisfy our customers' financial needs and help them succeed financially. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories .

About Enterprise Global Services
Enterprise Global Services (EGS) enables global talent capabilities for Wells Fargo Bank NA., by supporting over half of Wells Fargo's business lines and staff functions across Technology, Business Services, Risk Services and Knowledge Services. EGS operates in Hyderabad, Bengaluru and Chennai in India and in Manila, Philippines. Learn more about EGS at our International Careers website .

Department Overview
Enterprise Core Services (ECS) group is within the Enterprise Information Technology business and a critical component of the Enterprise CIO operating model aimed at providing common, consistent, and foundational software services and solutions to be used across technology at Wells Fargo. The group includes the strategic development and support of core information management services including data technology blue print, common data services, customer relationship management services and customer due diligence services to be leveraged across all technology teams in Wells Fargo. Additionally their Cloud enablement services is another strategic priority to re-engineer of a significant portion of Wells Fargo's large and complex application portfolio.

About the Role

Artificial Intelligence Enterprise Solutions Technology Team
The Artificial Intelligence Enterprise Solutions (AEIS) Technology Team enables the Enterprise to leverage the full capabilities of Artificial Intelligence to deliver insightful and personalized experiences for customers and team members, drive greater operational efficiency, while reducing risk and expenses and driving revenue. The focus is to develop and implement a foundational AI strategy for the Enterprise. Provide products and services to customer and business use case needs to be met, allowing our users to optimize how work is done through the leveraging of Artificial Intelligence capabilities.

Responsibilities

  • Adopting and enforcing best practices related to data ingestion and extraction of data from the big data platform.
  • Extract business data from multiple data sources and store in MapR DB HDFS location.
  • Work with Data scientists and build scripts to meet their data needs
  • Work with Data Lake team to maintain data and information security for all use cases
  • Build automation script using AUTOSYS to automate the loads
  • Design and develop scripts and configurations to successfully load data using Ab initio
  • Work with users to coordinate the access to data loaded in Data Lake
  • Post-production support of the AI/ML Platform
Essential qualification
  • B.E/B.Tech or higher
  • 7+ years of application development and implementation experience
  • 5+ years of ETL (Extract, Transform, Load) Programming experience
  • 3+ years of Python experience
  • 3+ years of Hadoop experience

Market Skills and Certifications
Required Qualifications
  • 7+ years of application development and implementation experience
  • 5+ years of ETL (Extract, Transform, Load) Programming experience
  • 3+ years of Python experience
  • 3+ years of Hadoop experience
  • B.E/B.Tech or higher
Desired Qualifications
  • Good verbal, written, and interpersonal communication skills
  • SDLC (System Development Life Cycle) experience
  • Ability to work effectively in virtual environment where key team members and partners are in various time zones and locations
  • Knowledge and understanding of project management methodologies: used in waterfall or Agile development projects
  • Strong analytical skills with high attention to detail and accuracy
  • 7+ years of Informatica experience
  • 8+ years of Teradata experience
  • 2+ years of data modeling experience
  • 2+ years of experience with Netcool/Impact
  • 2+ years of Ab Initio experience
  • 2+ years of JIRA experience
  • SQL experience
  • 7+ years of Linux experience
  • Experience with Spark, Hive and Kafka
Other Desired Qualifications
  • Model Operations & Support experience - responsible for the monitoring the execution performance and quality of the data provisioning function to production models
  • Understanding of Deep Learning concepts
  • Experience with Java, Python, Scala, R based applications and or services
  • Experience with Python and R administration experience
  • Experience with Application Server & Webserver administration
Personal Attributes:
  • Beyond experience, the right personal integrity, style and attitude are critical to success in this role
  • Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic
  • Proactive innovator, motivator and change agent - able to effectively and constructively lead change in an organization
  • Collaborative, influential and highly self-aware, find solutions
Job Expectations
  • Ability to work on call as assigned
  • Ability to work nights, weekends, and/or holidays as needed or scheduled



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