Bigdata Backend Engineer

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Most Relevant Skills

Other Relevant Skills

Qualifications

• Bachelor’s degree/University degree or equivalent experience

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.
• 5-8 years of relevant experience
• Experience in systems analysis and programming of software applications
• Experience in managing and implementing successful projects
• Working knowledge of consulting/project management techniques/methods
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
• 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.
• The Senior Reconciliation Developer – Assistant Vice President (AVP / C12) is a hands-on technical individual contributor responsible for the end-to-end design, development, configuration, and optimization of enterprise-grade data reconciliations and automated control pipelines.
• Operating with a high level of technical autonomy, the incumbent drives reconciliation engineering across high-throughput transaction processing systems, general ledger architectures, and centralized data distribution platforms. The role serves as a key technical subject matter expert (SME) delivering robust risk controls, automated break classification logic, and scalable data pipelines for strategic initiatives including enterprise finance automation, Target Operating Model (TOM) expansion across Capital Markets, and mandatory control onboarding for 200+ critical application feeds.
• Hybrid Schedule: 2 or 3 full days per week on-site in the office, with remaining days worked remotely in accordance with enterprise hybrid work policies.
• End-to-End Rule Build & Configuration: Design, build, test, and deploy complex multi-way matching algorithms, tolerance rules, and automated adjustment logic on enterprise reconciliation engines (e.g., TLM SmartStream, Duco, Gresham, or proprietary enterprise matching engines).
• Break Classification & Exception Handling: Engineer automated break classification and triage models to categorize discrepancies, assign break ownership, and accelerate root-cause analysis.
• Scalable Data Pipeline Development: Develop and optimize high-throughput data extraction, transformation, and ingestion pipelines using Python (Advanced), SQL (Advanced), and Apache Spark / PySpark for large-scale financial and transactional datasets.
• Technical Specification & BRD Translation: Partner with business analysts, operations teams, and product owners to translate Business Requirement Documents (BRDs) into detailed technical designs, data mapping specifications, and schema definitions.
• Data Sourcing & Lineage Verification: Validate data integrity, provenance, and transformation logic from upstream Systems of Record (SoRs) into central data distribution hubs and analytical repositories.
• Backlog Remediation Execution: Systematically analyze, develop, and deploy automated reconciliation solutions to clear active request backlogs (340+ scheduled and ad-hoc requests).
• DevOps & Containerized Deployment: Package and deploy services utilizing Docker and Kubernetes/OpenShift container platforms; maintain automated CI/CD build and test pipelines (e.g., Jenkins, Bitbucket/GitLab).
• Audit, Risk & Control Adherence: Ensure all built reconciliations satisfy internal audit, risk management, and regulatory control mandates as a required supervisory control mechanism.
• Technical Subject Matter Expertise: Serve as the go-to technical authority on reconciliation logic, data schemas, and pipeline performance for peer developers, QA analysts, and business partners.
• Stakeholder Alignment: Actively liaise with upstream data providers, downstream consumers, operations specialists, and enterprise architecture leads to resolve data friction and ensure delivery milestones are met.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Software Engineering, Financial Technology, or a related quantitative field.
• 6–8+ years of hands-on software development, data engineering, or reconciliation systems configuration experience in Financial Services / Capital Markets.
• Proven track record as a senior individual contributor delivering complex, business-critical technical solutions independently.
• Python (Advanced): Pandas, NumPy, PySpark, data processing, script automation, REST/gRPC API development.
• SQL (Advanced): Complex joins, CTEs, analytical window functions, query execution plan optimization across relational and cloud data warehouses.
• Interoperability: Working knowledge of Java, Scala, or C# for enterprise microservices integration.
• Technology
• Applications Development
• Full time
• Please see the requirements listed above.
• 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.
• If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
• View Citi’s EEO Policy Statement and the Know Your Rights poster.