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 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.
Payments, Virtual Solutions, and Innovation /Community Bank Technology within the Enterprise Information Technology business provides strategic technology solutions to the both the PVSI and Community Banking lines of business, including application design, development, and support. About the role Digital Technology / Innovation – AI Machine Learning Data Engineering Team is looking for a highly motivated and experienced Senior Data Engineer. The right candidate will have expert level experience in supporting Artificial Intelligence / Machine Learning (AI/ML) Platforms, products and data ingestion/provisioning activities from different data sources to and from the Enterprise Data Lake. As a senior data engineer, you will be working with Wells Fargo business & data science teams to get the business data requirements, perform data engineering/provisioning activities to support building, exploring, training and running Business models. The senior data engineer will use ETL tools like Informatica, Ab Initio, and data warehouse tools to deliver critical Model Operationalization services to the Enterprise.
Data modeling, coding, analytical modeling, root cause analysis, investigation, debugging, testing and collaboration with the business partners, product managers, architects & other engineering teams.
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 Enterprise 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 Data Ingestion Frameworks or Ab initio
Coordinate user access requests for data loaded in Data Lake
Possession of excellent analytical and problem-solving skills with high attention to detail and accuracy
Demonstrated ability to transform business requirements to code, metadata specifications, specific analytical reports and tools
Good verbal, written, and interpersonal communication skills
5+ years of ETL (Extract, Transform, Load) Programming with tools including Informatica
2+ years of Unix or Linux systems with scripting experience in Shell, Perl or Python
Experience with Advanced SQL (preferably Teradata)
Experience working with large data sets, experience working with distributed computing (MapReduce, Hadoop, Hive, HBase, Pig, Apache Spark, etc.).
Experience with Java and Scala
Experience with Ab Initio
Experience with analytic databases, including Hive, Presto, and Impala
Experience with multiple data modeling concepts, including XML and JSON
Experience with stream frameworks including Kafka, Spark Streaming, Storm or RabbitMQ
Experience working with one or more of the following Amazon Web Services (AWS) Cloud services: EC2, EMR, ECS, S3, SNS, SQS, Cloud Formation, Cloud watch
In depth understanding and knowledge of Hadoop and Spark architecture and RDD transformations.
Atleast 3 or more years of relevant experience in developing pySpark programs using APIs. Expertise in different file formats like parquet, ORC.
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.
Internal Number: 53788BR-2
About WELLS FARGO BANK
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through 7,400 locations, more than 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 32 countries and territories to support customers who conduct business in the global economy. With approximately 260,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 29 on Fortune’s 2019 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories.
www.wellsfargo.com | Twitter: @WellsFargo