Job Description:
The Enterprise Data Management Services team is looking for a strong, self-motivated Technology developer to become an integral part of the Data Resiliency Acceleration program. Responsibilities include, but are not limited to:

• Developing and enhancing application components for supporting ML/AI models and data ingestion processes, with focus on code resiliency and stability
• Strong background in Kafka development & usage
• Interacting with ML/AI modelers, team of developers, and business partners and develop processes to ensure that ML/AI models are production-ready
• Developing, enhancing, modifying and/or maintaining applications
• Partnering with ML/AI modelers on future technical component development
• Working in a fast paced agile environment, under minimal supervision, with guidance from senior team members
• Participating in analysis on operational issues
• Participating in peer reviews for designs, code, and other work products

Required Skills

• Strong experience in Kafka writing Consumers and Producers,
• Developing Kafka topics and Data pipeline experience
• Strong knowledge of Python, Hadoop, Hive, Spark
• Experience in developing Hive & DBMS based applications

Desired Skills

• Python programming background (scripting and object-oriented design)
• Coding experience with "big data" (Spark/PySpark, SQL, Hadoop, ETL development)
• Experience implementing statistical models in python (Jupyter notebooks, scipy, numpy, pandas, Scikit-learn)
• Machine learning experience or knowledge
• Understand and empathize with the key challenges faced by sponsors and stakeholders
• Manage senior stakeholder expectations and build trust relationships
• Hands-on development experience on languages like Python.
• Prior experience automating and deploying statistical/ML models in a production environment
• RDBMS knowledge of Oracle and SQL a plus
• Knowledge of Autosys a plus
• Prior experience working in an Agile environment
• Prior knowledge of Horizon tools .e.g Jira, Bitbucket
• Desired skills in Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration

Enterprise Role Summary:
Responsible for designing and developing complex requirements to accomplish business goals. Ensures that software is developed to meet functional, non-functional, and compliance requirements. Ensures solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Possess strong proficiency in development and testing practices common to the industry, and have extensive experience of using design and architectural patterns. At this level, specializations start to form in either Architecture, Test Engineering or DevOp. Contributes to story refinement/defining requirements. Participates and guides team in estimating work necessary to realize a story/requirement through the delivery lifecycle. Performs spike/proof of concept as necessary to mitigate risk or implement new ideas. Codes solutions and unit tests to deliver a requirement/story per the defined acceptance criteria and compliance requirements. Utilizes multiple architectural components (across data, application, business) in design and development of client requirements. Assists team with resolving technical complexities involved in realizing story work. Designs/develops/modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained. Designs/develops/maintains automated test suites (integration, regression, performance). Sets up and develops a continuous integration/continuous delivery pipeline. Automates manual release activities. Mentors other Software Engineers and coaches team on CI-CD practices and automating tool stack. Individual contributor.
Shift:
1st shift (United States of America)
Hours Per Week:
40