**Role/Responsibilities**:
Functional Responsibilities
- Design and implement data structures that support business and technology objectives leveraging the AWS Architecture.
- Collaborate with stakeholders to understand and deliver on reporting, analytic, predictive, and governance-related use cases.
- Execute on SDLC delivery, including waterfall, hybrid, and Agile methodologies.
- Develop code using Python scripting (Py Spark), SQL, Lambda and manage data pipelines.
- Provide guidance and serve as a point of escalation for complex data and system issues and formulate plans to analyze, identify, test, and resolve issues.
- Participate in code reviews to maintain code quality and ensure adherence to best practices, with a strong focus on secure and efficient coding practices.
- Stay up to date with emerging cloud technologies and tools.
- Perform knowledge transfer of new initiatives to operational teams and provide assistance during hyper care periods.
**Qualifications**:
- Bachelor's or master's degree in computer science, Software Engineering, Management Information Systems, Finance, Accounting, or equivalent.
- 3-5 years of experience in Cloud platform development or system operations and business analysis for IT-related projects/implementation.
- Technical experience with AWS Architecture including AWS Data Brew, Athena, Glue, Crawlers, Step Functions, etc.
- Strong background in SQL and/or Python knowledge.
- Strong communication skills and the ability to translate technical details into clear business context as well as fully grasping business goals.
- Experience in SDLC and other project methodologies such as Agile, Waterfall, etc.
- Well-developed data-driven problem-solving and analytic capabilities, strong organizational, management, and communication skills.
- Financial domain knowledge with an interest in accounting processes and financial reporting and analysis
- Ability to pick up new software and systems quickly and self-train via all available training and internet resources.
- Technical experience in multi cloud including Azure Data Factory or Fabric is a plus.
- Strong sense of ownership regarding work product.