Fp&A - Database Developer, Assistant Vice President

• Design, develop, and optimize Oracle database solutions using SQL and PL/SQL
• Implement and manage applications on Oracle Cloud Infrastructure (OCI)
• Write Python scripts for data automation, transformation, and validation
• Apply Big Data principles to support large-scale data processing needs
• Design and maintain robust ETL workflows and data pipelines
• Build and support Data Warehouse solutions ensuring performance and reliability
• Collaborate with technical and business teams, especially data stakeholders, to understand and fulfill data requirements
• Leverage SAS knowledge (if applicable) to support data analysis and reporting initiatives
• Act as a bridge between business users and technical teams
• Directly interact with clients/stakeholders to gather, analyze, and document business requirements
• Prepare Functional Requirement Documents (FRD), Technical Design Documents (TDD), and data mappings
• Translate business needs into clear technical solutions and guide development teams
• Participate in client calls, requirement walkthroughs, and solution discussions

• Strong proficiency in Oracle SQL and PL/SQL
• Experience with Oracle Cloud services
• Solid knowledge of Python programming
• Understanding of Big Data technologies (e.g., Hadoop, Spark)
• Experience with ETL tools and processes
• Familiarity with Data Warehouse design and optimization
• Excellent communication and interpersonal skills to collaborate across teams
• 7+ years of progressive experience in software development, Strong hands-on experience with enterprise-level Java development, including Spring Framework (Spring Boot, Spring Cloud) and related ecosystems
• and Deep understanding and hands-on experience with data architecture principles, including relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)
• Proven hands-on experience with Python for data manipulation, scripting, machine learning, and backend development
• Demonstrable hands-on experience with Generative AI concepts, frameworks (e.g., TensorFlow, PyTorch), and practical application of large language models (LLMs), natural language processing (NLP), and machine learning (ML) models
• Experience with cloud platforms (e.g., AWS, Azure, GCP), including understanding of cloud-native services and serverless architectures
• Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with CI/CD pipelines, DevOps practices, and automated testing frameworks
• Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences
• Strong analytical and problem-solving abilities
• Bachelor’s/Masters degree in Computer Science, Information Technology, or a related field
• Knowledge of SAS (Statistical Analysis System) is a plus

Knowledge of SAS (Statistical Analysis System)