Bigdata Spark Developer

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.

Required Skills:

• 5-7 years of software development experience.
• Strong hands-on experience with Apache Spark.
• Proficiency in either Java or Python.
• Candidates with primary expertise in Python should also have a good understanding of Java fundamentals (OOP concepts, collections, exception handling, multithreading basics).
• Experience working with SQL and relational databases.
• Experience with CI/CD pipelines, Git, and Agile development methodologies.
• Understanding of distributed computing concepts and big data processing.
• Strong analytical, problem-solving, and debugging skills.

Good to Have

• Experience with Databricks.
• Exposure to cloud platforms and modern data engineering practices.
• Experience with CI/CD pipelines, Git, and Agile development methodologies.
• Knowledge of regulatory reporting or financial services domain is a plus

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

We are seeking an Intermediate Big Data Spark Developer to design, develop, enhance, and support large-scale data processing solutions.

The ideal candidate is a strong Spark developer with proficiency in Java or Python, a solid understanding of distributed data processing, and a growth mindset toward adopting modern AI-powered development practices. They should be able to combine the productivity gains offered by AI tools with sound technical judgment, ensuring solutions are accurate, scalable, maintainable, and production-ready.

Key Responsibilities:

• Design, develop, test, and maintain data processing applications using Apache Spark.
• Build scalable ETL and data transformation pipelines for large datasets.
• Develop and support applications using Java or Python in a distributed data environment.
• Analyze requirements and collaborate with business analysts, QA teams, and stakeholders to deliver solutions.
• Troubleshoot production issues and optimize application performance.
• Participate in code reviews and follow engineering best practices.
• Contribute to application modernization, migration, and automation initiatives.
• Leverage AI-assisted development tools to improve productivity and quality.

Required Skills:

• 5-7 years of software development experience.
• Strong hands-on experience with Apache Spark.
• Proficiency in either Java or Python.
• Candidates with primary expertise in Python should have a good understanding of Java fundamentals (OOP concepts, collections, exception handling, multithreading basics).
• Experience working with SQL and relational databases.
• Understanding of distributed computing concepts and big data processing.
• Strong analytical, problem-solving, and debugging skills.

Preferred Skills:

• Experience with Databricks (highly desirable).
• Exposure to cloud platforms and modern data engineering practices.
• Experience with CI/CD pipelines, Git, and Agile development methodologies.
• Knowledge of regulatory reporting or financial services domain is a plus.

AI Mindset & Engineering Excellence

• Demonstrated ability and willingness to adopt AI-assisted development tools (e.g., GitHub Copilot, Devin, Databricks Assistant, or similar) to improve productivity, code quality, and delivery efficiency.
• Ability to effectively leverage AI-generated recommendations for coding, testing, debugging, documentation, and analysis while maintaining accountability for final deliverables.
• Strong engineering judgment to critically review, validate, and optimize AI-generated code and solutions rather than relying solely on tool outputs.
• Capable of identifying potential functional, performance, security, and maintainability issues in AI-assisted implementations and making appropriate corrections.
• Passion for continuous learning and staying current with emerging AI technologies and software engineering best practices.

Nice to Have:

• Experience with Spark performance tuning.
• Familiarity with data lake architectures.
• Experience leveraging AI tools such as Copilot or similar developer productivity solutions.

This role offers an opportunity to work on large-scale data platforms, modernization initiatives, and business-critical applications while collaborating with global team

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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