About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a leading global financial services company headquartered in San Francisco (United States). Wells Fargo has offices in over 30 countries and territories. Our business outside of the U.S. mostly focuses on providing banking services for large corporate, government and financial institution clients. We have worldwide expertise and services to help our customers improve earnings, manage risk, and develop opportunities in the global marketplace. Our global reach offers many opportunities for you to develop a career with Wells Fargo. Join our diverse and inclusive team where you will feel valued and inspired to contribute your unique skills and experience. We are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Market Job Description
About Wells Fargo India and Philippines
Wells Fargo India and Philippines 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. Wells Fargo operates in Hyderabad, Bengaluru and Chennai in India and in Manila, Philippines. Learn more about Wells Fargo India and Philippines at our International Careers website
Department Overview
Enterprise Data Lake (EDL) Enablement team in Wells Fargo is leveraging big data technologies and cutting edge innovations in solving business critical problems. We work with business and technology teams and provide solutions as enable them to integrate their applications with our vast data and processing power in the data lake.
About the Role:
The position is for a senior engineer with solid experiences in big data related technologies. A successful candidate for this role will have a service-oriented mentality and possess a strong sense of ownership of the problems/requests assigned. The role will focus on evaluating technology solutions; building up and enhancing the platform; and offering solutions and to our business users.
Roles & Responsibilities:
- The new team member will focus on closely working with application teams in understanding their requirements, review application design, and provide best practices/ infrastructure solution as well as application integration with MapR cluster.
- Provides and reviews application performance tuning, and capacity planning as well as storage management. Ensuring application teams leveraging the right tool set and using them effectively.
- Responsible for POCs including enablement of brand new tool or services into the lake.
- Performs root cause analysis, preparation of test data, testing, and remediation efforts.
- Support existing application teams with monthly new releases, issue resolution all the way, until they go to production.
- Application Migrations from legacy clusters to brand to clusters.
Qualifications:
- Deep understanding of Big Data and Hadoop architecture.
- Strong experience in Hadoop and its related technologies like Map Reduce, HDFS, Spark, Kafka, MapR Streams and Hive
- At least seven+ year hands on development experience and expertise in a combination of Java, Scala, Perl, Python, and Unix Shell Script
- Solid experience in NoSQL databases like HBase, MapR DB & MongoDB
- Experience in designing and developing technical solutions with big data technologies
- Proven track record of strong verbal/written communication and presentation skills, abilities to articulate technical solutions to both technical and business audiences
- Excellent planning, project management, leadership and time management skills
- Abilities to work independently
- Delivery focus and willingness to work in a fast-paced, mission-critical production environment
- Hadoop Certification is preferred.
- Experience with Private and public cloud technologies (AWS, Google cloud) – Optional great to have.
- Exposure to banking domain is a plus
Enterprise Data Lake (EDL) Enablement team in Wells Fargo is leveraging big data technologies and cutting edge innovations in solving business critical problems. We work with business and technology teams and provide solutions as enable them to integrate their applications with our vast data and processing power in the data lake. The position is for a senior engineer with solid experiences in big data related technologies. A successful candidate for this role will have a service-oriented mentality and possess a strong sense of ownership of the problems/requests assigned. The role will focus on evaluating technology solutions; building up and enhancing the platform; and offering solutions and to our business users.
Roles & Responsibilities:
- The new team member will focus on closely working with application teams in understanding their requirements, review application design, and provide best practices/ infrastructure solution as well as application integration with MapR cluster.
- Provides and reviews application performance tuning, and capacity planning as well as storage management. Ensuring application teams leveraging the right tool set and using them effectively.
- Responsible for POCs including enablement of brand new tool or services into the lake.
- Performs root cause analysis, preparation of test data, testing, and remediation efforts.
- Support existing application teams with monthly new releases, issue resolution all the way, until they go to production.
- Application Migrations from legacy clusters to brand to clusters.
Qualifications:
- Deep understanding of Big Data and Hadoop architecture.
- Strong experience in Hadoop and its related technologies like Map Reduce, HDFS, Spark, Kafka, MapR Streams and Hive
- At least seven+ year hands on development experience and expertise in a combination of Java, Scala, Perl, Python, and Unix Shell Script
- Solid experience in NoSQL databases like HBase, MapR DB & MongoDB
- Experience in designing and developing technical solutions with big data technologies
- Proven track record of strong verbal/written communication and presentation skills, abilities to articulate technical solutions to both technical and business audiences
- Excellent planning, project management, leadership and time management skills
- Abilities to work independently
- Delivery focus and willingness to work in a fast-paced, mission-critical production environment
- Hadoop Certification is preferred.
- Experience with Private and public cloud technologies (AWS, Google cloud) – Optional great to have.
- Exposure to banking domain is a plus
We Value Diversity
At Wells Fargo, we believe in diversity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We comply with all applicable laws in every jurisdiction in which we operate. |
