Senior Software Engineer

Senior Software Engineer - Master Data Management As a Senior Software Engineer (MDM) in CDO (Chief Data Office), you will partner with architects, product owners, tech leads, designers, engineers, and delivery professionals to improve the MDM platform team. You will code, test, and debug new and existing functionalities in MDM as you implement capabilities to solve sophisticated business problems, deploy innovative products, services, and experiences to delight our customers In addition to applied experience, you will bring excellent problem-solving, communication, and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude, and a continuous learning focus to all that you do. Your Team & Role You will be part of our Chief Data Office that enables the realization of our clients vision with data: Data Governance is the foundation for understanding and using data Enterprise Data Management is the brain that connects data from across the enterprise and enables its value to be unlocked Master Data Management delivers a single "golden" record of truth across disparate data systems Data Science/Artificial Intelligence transforms core processes and experiences and is a foundation for the next generation of insurance, retirement, and investment solutions along with corporate functions Robotic Process Automation and Conversational capabilities drive expense reduction and improved customer experience. Enterprise Data Platform provides automation for data processing and creates unique and distinct enterprise data assets for advanced analytics and business intelligence. Here is What You Can Expect on a Typical Day Build applications ensuring that the code follows the latest coding practices and industry standards, using modern design patterns and architectural principles; actively code against the roadmap. Develop high-quality, well-documented, and efficient code adhering to all applicable client standards. Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design, and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact. Write unit, integration tests, and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems. Bring an applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day. Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Use programming languages including but not limited to Python, Spark, and Node.js frameworks. The Skills & Expertise You Bring Bachelor of Computer Science or Engineering or experience in related fields. Leverage diverse ideas, experiences, thoughts, and perspectives to the benefit of the organization. Experience with agile development methodologies and Test-Driven Development (TDD). Knowledge of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business. Ability to learn new skills and knowledge on an ongoing basis through self-initiative and tackling challenges. Excellent problem-solving, communication, and collaboration skills. Applied experience with several of the following: MDM Tools: Preferably Ataccama or any other major MDM tool. Programming Languages: Python, Spark working in distributed systems, object-oriented programming, design patterns, and design methodology. Data Store: NoSQL or Relational Data structures. Data Streaming: SQS, Kinesis. Application Programming Interfaces (API): Consumption & Development; implementing service-oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SOAP, XML, JDBC, MySQL. Unit, interface, and end-user testing concepts and tooling (functional & non-functional). Automated testing. Familiarity with Unix/Linux, bash, and common shell commands. DevOps Tools & Practices: Branching techniques and usage of GitHub, Bitbucket, or Subversion; DevOps, Jenkins. Software Development Life Cycle (SDLC): Monitoring and logging techniques. AWS Core Services: AWS Services such as CloudWatch, Code-Deploy. Preferred qualifications: AWS Development Architecture Patterns Design Thinking Financial/Insurance industry knowledge is a plus, not a must.