6 days old

Senior Data Engineer - ASE5

Charlotte, NY 14782
  • Job Code
    5534660-4
Job Description

Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as Personal Cell or Cellular in the contact information of your application.

At Wells Fargo, we want to satisfy our customers financial needs and help them succeed financially. Were looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where youll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

At Wells Fargo, the Chief Technology Office (CTO) organization is leading technology transformation in a multi-cloud technology landscape by developing and delivering innovative products that delight our customers and speed to market banking products to our customers. As part of the CTO Operations and Site Reliability Engineering (SRE) group, the Enterprise Observability Team is responsible for delivering innovative, scalable, stable, and secure products that provide deep business insight, operational insight, and predictive analysis. As a member of the team, you will be a key contributor to the development of products that provide full stack observability including application monitoring, logging, alerting, and visualization.

As part of the Enterprise Observability team, the Senior Java/Data Engineer will design, develop, and implement near real-time data streams, ingesting and enriching business and operational data from various sources across the organization as part of a new enterprise observability platform.

Duties/responsibilities include the following:
Partner with internal customers, architects, engineers and other technical partners to gather requirements, understand existing systems and develop products to maximize secure and compliant application observability
Work with complex databases, conduct in-depth research to identify data issues, propose solutions to improve data integrity; perform other database-related analyses and projects as requested.
Determine the most appropriate data collection and methodologies
Identify, retrieve, manipulate, relate and exploit multiple structured data and unstructured data sets from various sources, including building or generating new data sets as appropriate
Integrate operational data platforms and tools including Kafka, MongoDB, ElasticSearch (Elastic Search, Logstash, Kibana, Beats), Splunk, etc.
Develop enterprise level data APIs and data streams using object-oriented languages (Java, C#.NET) and scripting (Python, PowerShell, etc.) and data formats (XML, JSON)
Leverage subject matter expertise in Enterprise Messaging/Services, APIs, Microservices architecture, and enterprise application event-streaming and logging technologies
Utilize the Spring Ecosystem including Spring Boot, Spring Framework, Spring Web Flow, Spring Cloud Connector
Collaborate through the Agile Scrum methodology to deliver products and key features, including the use of Agile tools like Jira and Confluence
Work with Hybrid Cloud Platform Providers and Containers including AWS, Azure, Pivotal Cloud Foundry (PCF), Pivotal Container Service (PKS / Enterprise Kubernetes Platform), Kubernetes, and Docker.

The preferred location for this role is Charlotte, NC. Other locations that can be considered are: Chandler-AZ, Minneapolis-MN, and New York, NY

Required Qualifications

7+ years of application development and implementation experience7 + years of .Net and Java application development experience or a combination of both3+ years of Spring framework experience such as Spring Boot2+ years of experience developing and using RESTful Application Program Interface (API)A BS/BA degree or higher

Desired Qualifications

Good verbal, written, and interpersonal communication skills1 + years of experience with Elasticsearch development, integration or supportExperience Hadoop ecosystem tools relevant for real-time and batch data ingestion, processing and provisioning using tools such as Apache Flume, Apache Kafka, Apache Sqoop, Apache Flink, Apache Hive or Apache StormExperience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as HadoopCompletion of coursework in computer science, information systems, or a similar technology-related field of study2+ years of Python experienceKnowledge and understanding of Python, R or SCALAAdvanced scripting skills specifically around automation, log rotation, data collection, error collection and alerting3+ years of Big Data experienceKnowledge and understanding of data warehouse or data mart environment development and enhancementKnowledge and understanding of data visualization Experience designing and developing business intelligence or data analytics applications using tools such as Tableau by integrating with Apache Spark3+ years of Linux experienceExperience developing data processing or analytics solutions on Cloud platforms such as AWSKnowledge and understanding of technology performance: requirements and designing highly scalable solutionsStrong knowledge of technology with emphasis on the following: development operations, Software Development Lifecycle (SDLC), (including quality assurance, problem and incident management, configuration management, application infrastructure services (e.g. middleware), platform management, information security architecture, IAM (identity and access management), enterprise architecture, cloud, third party hosted solutions, application risk assessments, information management, enterprise data, CRM services, and books and records)Experience applying new technologies to business needs in a technologically innovative , change-driven organizationOutstanding problem solving and decision making skillsStrong analytical skills with high attention to detail and accuracyAbility to develop partnerships and collaborate with other business and functional areas

Other Desired Qualifications

Experience configuring and/or integrating with monitoring and logging solutions such as syslog, ELK (Elastic, Logstash, Kibana) and Kafka
3+ years of experience in building large-scale data processing projects using AWS technologies (Lambda, S3, EC2, EMR, Kinesis, DynamoDB, API Gateway)
3+ years of experience with Data Modeling and tuning of relational and NoSQL data stores (Athena, MongoDB, MySQL, Red-shift, etc.)
Experience building data pipelines and automating Big Data platform applications/services
Experience building-operating highly scalable, fault tolerant, distributed systems for extraction, ingestion and processing of large data sets
Experience with Data Visualization Tools like Tableau, PowerBi, Qlikview, Kibana and/or Graffana
Build-deploy automation and configuration experience within the Linux and Unix environment
Experience with Software engineering best-practices including, but not limited to CICD (Git, Jenkins, TFS, Maven, Nexus), Version Control (Git, Subversion, etc.), and automated unit testing

Job Expectations

Ability to travel up to 5% of the time

Disclaimer

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.

Relevant military experience is considered for veterans and transitioning service men and women.
Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

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Posted: 2020-02-11 Expires: 2020-03-12

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Senior Data Engineer - ASE5

Wells Fargo
Charlotte, NY 14782

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