DART (Data, Analytics and Reporting Team) serves as a provider of data, analytics, and automation solutions for functions within the Consumer and Community Banking Operations. As a global team with a presence in the United States, India, and the Philippines, this role offers the opportunity to develop cutting-edge solutions and the necessary infrastructure to support them. The position involves collaboration with various stakeholders and management levels to ensure the delivery of the most effective solutions.
Job summary:
As a Data Scientist Senior Associate in the DART (Data, Analytics and Reporting Team), you will be responsible for setting up future ready solutions and related infrastructure.
Job Responsibilities
- Design, develop, and maintain ETL data pipelines using AWS Glue, Java, or Python
- Write secure, high-quality code following best practices and engineering standards
- Collaborate with AWS infrastructure teams to deploy and optimize containerized applications on Amazon ECS
- Develop and maintain data integrations with Oracle databases and AWS RDS
- Partner with business stakeholders to gather requirements and translate business needs into technical solutions
- Participate in code reviews, testing, and CI/CD pipeline maintenance
- Apply knowledge of the Software Development Life Cycle, including Jenkins, Docker, and Git
- Gather, analyze, and draw conclusions from large datasets to support decision-making
- Participate in production support and incident response as needed
Required Qualifications, Capabilities, and Skills
- Bachelor’s degree with 7+ years or Master’s with 5+ years of relevant experience in a quantitative field (e.g., Computer Science, Engineering).
- Design, develop, and maintain ETL data pipelines using AWS Glue, Java, or Python, and migrate legacy ETL to cloud-native solutions.
- Develop and maintain data integrations with Oracle databases and AWS RDS; familiarity with Liquibase for database migrations.
- Write secure, high-quality code following best practices and engineering standards; experience with Java, Spring Boot, and data processing frameworks (PySpark, Pandas).
- Collaborate with AWS infrastructure teams to deploy and optimize containerized applications on Amazon ECS.
- Apply knowledge of the Software Development Life Cycle, including Jenkins, Docker, and Git; participate in code reviews, testing, and CI/CD pipeline maintenance.
- Gather, analyze, and draw conclusions from large datasets to support decision-making.
- Participate in production support and incident response as needed; knowledge of observability tools such as Splunk or CloudWatch.
- Partner with business stakeholders to gather requirements and translate business needs into technical solutions.
- Strong problem-solving mindset, excellent communication skills, highly organized, intellectually curious, and able to work independently on unstructured problems.
Preferred Qualifications, Capabilities, and Skills
- Experience in financial services or highly regulated industries.
- AWS certifications (Solutions Architect Associate, Developer Associate, or Data Analytics Specialty) and experience migrating legacy ETL processes to cloud-native solutions.
- Experience in financial services or highly regulated industries; AWS certifications (Solutions Architect Associate, Developer Associate, or Data Analytics Specialty) preferred.
- Proficiency with Java, Spring Boot, and hands-on experience with data processing frameworks such as PySpark and Pandas.
- Familiarity with Liquibase for database migrations and knowledge of observability tools like Splunk or CloudWatch.
- Strong problem-solving mindset; excels at solving unstructured problems independently.
- Intellectually curious, strategic, and eager to learn with a focus on business goals and innovation and Highly organized, able to prioritize multiple tasks, and strong communicator who builds effective relationships with stakeholders.