Overview

Citi is looking for an Applications Development Intermediate Programmer Analyst to design, build, and maintain large-scale data engineering solutions that support critical reporting and analytics functions across a global financial institution.

Responsibilities

• Build and maintain scalable data pipelines using Python and PySpark to process and transform large volumes of structured and unstructured data across distributed platforms.
• Develop and optimize data workflows on Hadoop-based ecosystems, including HDFS, Hive ensuring reliable data availability for downstream reporting and analytics.
• Conduct feasibility studies, time and cost estimates, and technical planning activities to support data engineering delivery across business areas.
• Monitor and manage all phases of the data application development lifecycle, from analysis and design through to testing, implementation, and production support.
• Collaborate with analytics and reporting teams to build and maintain Tableau dashboards and translating raw data into actionable business insights.
• Administer and troubleshoot data processes within Linux environments, ensuring stability, performance, and operational continuity.
• Assess risk across data engineering decisions, ensuring solutions align with security, data governance, and compliance standards.

Qualifications

• Working knowledge of consulting/project management techniques/methods
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
• 5 to 8 years of experience in data engineering, big data development, or software application development with a focus on large-scale data platforms.
• Hands-on development experience using Python and PySpark for data ingestion, transformation, and pipeline orchestration at scale.
• Expert in ETL and Oracle DB, SQL
• Knowledge in Data bricks
• Practical knowledge of Hadoop ecosystem components including HDFS, Hive, and Hadoop cluster operations, with familiarity with Ozone storage.
• Working experience in Linux environments, including scripting, job scheduling, and process management.
• Familiarity with RStudio for statistical analysis or data exploration in a data engineering context.
• Deep expertise in Large Language Models (LLMs) including OpenAI, Gemini, Claude, Llama, and local/open‑source models
• Bachelor's degree or equivalent experience in a relevant technical discipline.
• Knowledge of data governance practices, metadata management, or data quality frameworks within large-scale environments.
• Familiarity with consulting or project management techniques applied within a technology delivery context.

Benefits

• Hybrid working model with 2 days in the office and 3 days working remotely, supporting a sustainable work-life balance.
• Opportunity to work on large-scale, real-world data engineering challenges using modern big data tools and platforms at enterprise scale.
• Access to continuous learning and development resources to deepen technical skills across data engineering, analytics, and cloud technologies.
• Autonomy to make technical decisions and operate with limited direct supervision, with the opportunity to act as a subject matter expert to senior stakeholders.
• A structured career pathway with clear progression opportunities within Citi's global technology organization.
• Competitive financial wellbeing and benefits package aligned to your location and level.
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