FP&A - Database Developer, Assistant Vice President

Citi; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

Citi seeks a Senior Oracle Developer with extensive experience in SQL/PLSQL, Oracle Cloud, and Python to optimize database solutions. You will work closely with stakeholders to translate business needs into effective technical solutions. Proven experience in data warehousing, ETL processes, and big data technologies is essential.

This position offers a dynamic work environment where you will collaborate with cross-functional teams and engage with clients directly to drive results. Join Citi and shape your career in a supportive team.

Qualifications

• Strong proficiency in Oracle SQL and PL/SQL.
• Experience with Oracle Cloud services.
• Solid knowledge of Python programming.
• Understanding of Big Data technologies like Hadoop and Spark.
• Experience with ETL tools and processes.
• Familiar with Data Warehouse design and optimization.

Responsibilities

• 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 and validation.
• Build and support Data Warehouse solutions ensuring performance.
• Collaborate with technical and business teams to understand data requirements.

Skills

Oracle SQL

PL/SQL

Python

Big Data technologies

ETL processes

Data Warehousing

Java

Cloud platforms (AWS, Azure, GCP)

Microservices

Containerization (Docker)

Kubernetes

CI/CD pipelines

DevOps practices

Education

Bachelor's/Master's degree in Computer Science or IT

Tools

Oracle Cloud

SAS

Hadoop

Spark

TensorFlow

PyTorch

Job description

FP&A - Database Developer, Assistant Vice President

Job Req Id: 26960335

Location(s): Mumbai, Maharashtra, India

Job Type: On-Site/Resident

Posted: Jun. 26, 2026

Job Overview

We are seeking a Senior Oracle Developer with strong technical depth in SQL/PLSQL and proven experience performing as Business Analyst in client‑facing environments. The ideal candidate should have strong expertise in Oracle SQL and PL/SQL, along with working knowledge of Oracle Cloud, Python scripting, ETL processes, Big Data technologies, and Data Warehousing. Knowledge of SAS is a plus and will be beneficial in working with analytics and reporting teams. This role also demands excellent communication skills to interact with data stakeholders and translate business needs into effective technical solutions.

Key Responsibilities

• 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.

Required Skills

• 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). Deep understanding of data architecture principles, relational databases (PostgreSQL, Oracle), NoSQL databases, data warehousing and big data technologies.
• 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 (AWS, Azure, GCP) and 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.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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