Senior Big Data Developer

About this role:

Wells Fargo is seeking a Senior Software Engineer (Big Data Developer) We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Overall 4+ years IT industry experience with all phases of SDLC
• 4+ years of experience with Waterfall and Agile project methodologies
• 4+ years of experience as a professional software engineer.
• 4+ years of experience in Spark application development and implementation.
• Holds very strong technical knowledge in Spark.
• Preferred knowledge and hands-on experience working with Hadoop Ecosystem and Big data technologies like Hive, Kafka, Hbase , NIFI and Data processing framework such as Spark.
• Hands-on experience with Data modeling, normalization, processing with Spark and SQL and Spark performance tuning knowledge.
• Excellent knowledge of OOPS concepts and familiarity in using Java.
• Experience using version control tools like GIT, CI/CD process and build tools like Gradle and Maven.
• Strong knowledge of Database concepts and UNIX bash scripting.
• Advantage of having knowledge with JOB schedulers like Autosys.
• Knowledge of docker images, containers, and container management framework like Kubernetes, including scheduling micro service deployment and creating services on kubernetes and handling ingres and egress.

Job Expectations:

• 4+ total years with working with business partners to breakdown requirements, manage technology delivery, educate the business on technology options, lead enterprise level initiatives and ensure that expectations are set and delivered on time and budget.
• 3+ years of experience working in Control Room Surveillance, Trade Surveillance or Compliance Risk, or Financial Services domain experience
• 3+ years of experience designing and implementing process solutions for automation
• Must be able to provide examples that they have the ability to multi-task and handle multiple technology initiatives at the same time.
• A detailed, logical thinker, problem solver & team player
• Experience working with onsite/offshore teams
• Experience with messaging services like JMS/Kafka a plus.

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