Senior Java Software Engineer

Job Summary:

The Customer Data Technology group within the Personal Investing (PI) organization is seeking an experienced Software Engineer to build and maintain large-scale data processing systems. In this role, you will leverage cutting-edge technologies to design and deliver innovative Big Data solutions, with a focus on enhancing customer experiences in the financial services space. You will be working in a collaborative environment where you will have opportunities to innovate and drive the evolution of data processing technologies.

Key Responsibilities:

• Design, develop, and maintain scalable, high-performance data processing systems that enhance customer experiences.
• Build microservices (REST APIs, GraphQL APIs) using Object-Oriented Programming languages (Java, Python, Spring Boot) on AWS.
• Apply expertise in Big Data solutions, utilizing AWS services to manage and process large datasets.
• Work with relational (AWS RDS, Oracle, Postgres) and NoSQL databases (DynamoDB, Elasticsearch, Graph database) to ensure data integrity and scalability.
• Develop event-driven applications using messaging technologies like SQS, SNS, Kinesis, Kafka, and Lambda.
• Implement continuous integration and continuous delivery (CI/CD) pipelines using tools like Maven, Jenkins, GitHub, and Docker.
• Collaborate with cross-functional teams to design and implement data-driven solutions that align with business objectives.
• Research and explore emerging technology trends to drive innovation in the data ecosystem.
• Support and deploy machine learning models using AWS Sagemaker.
• Participate in Agile (Kanban/SCRUM) development processes to deliver high-quality software.

Required Qualifications:

• Bachelor's or Master's Degree in a technology-related field (e.g., Computer Science, Engineering, etc.).
• 6+ years of experience in implementing Big Data solutions, with a strong focus on cloud technologies (AWS preferred).
• Expertise in Object-Oriented Programming languages (Java, Python) and building microservices (REST APIs, GraphQL APIs) in AWS.
• Experience with relational (AWS RDS, Oracle, Postgres) and NoSQL databases (DynamoDB, Elasticsearch, Graph database).
• Solid experience in developing event-driven/stream processing applications using technologies like SQS, SNS, Kinesis, Kafka, and Lambda.
• Proficiency in DevOps practices, including CI/CD pipelines using tools like Maven, Jenkins, GitHub, and Docker.
• Knowledge of deploying machine learning models using AWS Sagemaker.
• Experience with Agile methodologies (Kanban, SCRUM).

Preferred Qualifications:

• Exposure to the Python machine learning ecosystem (NumPy, Pandas, Scikit-learn, TensorFlow, NLP).
• Familiarity with in-memory technologies like ElasticCache, Redis, etc.
• Strong problem-solving abilities and a passion for technology innovation.
• Ability to work collaboratively in a fast-paced and dynamic team environment.

Certifications (if any):

AWS Certified Solutions Architect - Associate or Professional.

AWS Certified DevOps Engineer.

Any other relevant cloud or data-related certifications.

Education: Bachelors Degree