Big Data pyspark developer

The Applications Development 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

- Identify and analyze issues, make recommendations, and implement solutions

- Utilize knowledge of business processes, system processes, and industry standards to solve complex issues

- Analyze information and make evaluative judgements to recommend solutions and improvements

- Conduct testing and debugging, utilize script tools, and write basic code for design specifications

- Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures

- Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications

- 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:

- 3-5 years of experience as a Technical Data Analyst or similar role within the Financial Services industry, preferably in regulatory reporting (e.g., Basel, CCAR, FR 2052a) and liquidity risk.

- Demonstrated expertise with Big Data technologies including Hadoop, Spark (PySpark/Scala Spark), Kafka, and cloud-based data platforms (e.g., AWS S3, Databricks).

- Demonstrated experience with data modeling tools and techniques.

- Experience with scripting languages for data analysis (e.g., Python, R) is highly desirable.

- Experience with data preparation for AI/ML models and understanding of core AI/ML concepts and workflows is highly desirable.

- Comprehensive knowledge of data analysis principles, methodologies, and data governance frameworks.

- Experience across all phases of the Software Development Life Cycle (SDLC), with a focus on data-centric projects.

- 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.

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.

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Job Family Group:
Technology ------------------------------------------------------
Job Family:
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above. ------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------
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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