Data Engineer - Python

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities:

Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code

Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems

Apply fundamental knowledge of programming languages for design specifications.

Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging

Serve as advisor or coach to new or lower level analysts

Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions

Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents

Has the ability to operate with a limited level of direct supervision.

Can exercise independence of judgement and autonomy.

Acts as SME to senior stakeholders and /or other team members.

Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

2-5 years of relevant experience in the Financial Service industry

Intermediate level experience in Applications Development role

Consistently demonstrates clear and concise written and verbal communication

Demonstrated problem-solving and decision-making skills

Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka.

Proficiency in Python programming. Expertise in data processing frameworks such as Apache Spark, Hadoop.

Expertise in Data Lakehouse technologies (Apache Iceberg, Trino, Deltalake)

Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.).

Experience with data orchestration tools like Apache Airflow or Prefect.

Familiarity with containerization (Docker, Kubernetes) is a plus

Education:

Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.