Applications Development Senior Programmer Analyst - Assistant Vice President

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Job Overview

The Senior Big Data Developer is a key member of the Data Engineering team responsible for designing, developing, and optimizing scalable data solutions to support Citi's business objectives.

This role requires expertise in big data technologies, data analysis, and data modeling, as well as a strong understanding of financial datasets and workflows.

The ideal candidate will have experience working in a fast-paced, collaborative environment and demonstrate strong problem-solving and communication skills.

Responsibilities

Big Data Development:

Design and implement scalable data pipelines using Apache Spark, Scala, Hive, and Impala to process large volumes of structured and unstructured data.

Optimize data workflows for performance and scalability in distributed computing environments.

Data Analysis and Modeling:

Perform advanced data analysis to support business decision-making and reporting.

Develop and maintain data models (e.g., star schema, snowflake schema) to ensure efficient data storage and retrieval.

Business Intelligence (BI) Integration:

Collaborate with BI teams to integrate data into tools like Tableau and Power BI for visualization and reporting.

Ensure data accuracy and consistency in dashboards and reports.

Financial Domain Expertise:

Work with financial datasets to support risk management, compliance, and reporting requirements.

Ensure adherence to regulatory standards and data governance policies.

Job Scheduling and Automation:

Manage and monitor Autosys job scheduling for data workflows.

Automate repetitive tasks and optimize job execution to improve operational efficiency.

Version Control and Collaboration:

Use GIT for version control and collaborate with team members on code reviews and branching strategies.

Track and manage tasks using JIRA to ensure timely delivery of project milestones.

CI/CD Pipeline Management:

Implement and maintain CI/CD pipelines for automated testing, deployment, and monitoring of big data applications.

Collaborate with DevOps teams to ensure seamless integration and deployment processes.

Data Governance and Security:

Ensure data quality, security, and compliance with organizational and regulatory standards.

Implement data governance practices, including metadata management and lineage tracking.

Team Collaboration and Leadership:

Provide technical guidance and mentorship to junior developers.

Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to deliver high-quality solutions.

Qualifications

Technical Skills:

5+ years of experience in big data development and data engineering.

Expertise in Apache Spark, Scala, Hive, Impala, and distributed computing frameworks.

Proficiency in SQL and experience with data modeling techniques.

Hands-on experience with Autosys, GIT, JIRA, and CI/CD pipelines.

Familiarity with BI tools like Tableau or Power BI.

Knowledge of cloud platforms (e.g., AWS, Azure, GCP) is a plus.

Domain Knowledge:

Strong understanding of financial datasets, risk management, and compliance workflows.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong verbal and written communication skills to interact with technical and non-technical stakeholders.

Ability to work in a fast-paced environment and manage multiple priorities effectively.

Leadership and mentorship skills to guide junior team members.

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.