Senior Data Engineering- Java Spark

The Applications Development Senior 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:

• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
• Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
• Ensure essential procedures are followed and help define operating standards and processes
• Serve as advisor or coach to new or lower level analysts
• 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.

Recommended Qualifications:

• 9-12 years of hands-on experience in designing, developing, and maintaining complex ETL/Data Engineering pipelines in large-scale enterprise environments.
• Strong expertise in Apache Spark, with proven debugging and performance tuning skills for complex data processing and ETL workloads.
• Solid understanding of Finance Data Domain concepts, including financial products, reporting, and data lineage. Prior experience in the finance/banking domain is highly preferred.
• Experience in Test-Driven Development (TDD) using Java or Python, with a focus on building scalable and maintainable solutions.
• Strong knowledge of CI/CD practices and tools, including automated build, testing, deployment, and release management.
• Hands-on experience with enterprise job scheduling tools such as Autosys or equivalent workload orchestration platforms.
• Proven expertise in Data Governance, including data lineage harvesting, metadata management, and implementation of enterprise data catalog solutions.
• Ability to collaborate effectively with business stakeholders, architects, and upstream/downstream teams to ensure data quality, governance, and regulatory compliance.
• Strong analytical, problem-solving, and troubleshooting skills with the ability to drive issues to closure in a fast-paced environment.

Education:

• Bachelor’s degree/University degree in or equivalent experience

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