{"id":143514,"url":"https://alion.io/job/citi-data-engineer-java-apache-spark-hive-assistant-vice-president","title":"Data Engineer, Java, Apache Spark, Hive - Assistant Vice President","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":377,"ghost_share":0.008,"stale_share":0.003,"repost_share":0.088,"time_to_fill_p50_days":10,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":54000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":91},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Druid","optional":false},{"name":"Haystack","optional":false},{"name":"Java","optional":false},{"name":"NLP","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-08-27T00:00:00Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-15T16:46:52Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"The Opportunity: Are You Ready to Build the Future of Risk Analytics?\nWant to solve one of the most challenging big data problems in finance today? Are you excited by the idea of working directly with front-office and risk quants on massive-scale analytics for critical regulations like FRTB? Do you want to tame billions of rows of complex financial data with Apache Spark and deliver insights to senior leaders in a fraction of a second?\nCiti is looking for an elite, hands-on technologist to engineer the next-generation analytics platform for our Market Risk organization. This isn't just another data job. You will be the architect and builder of a high-performance system that ingests, processes, and serves petabytes of risk calculation data, making it instantly accessible and understandable to the entire firm.\nYour Role and Impact\nAs a Senior Technologist, you will be at the heart of the action, designing the systems that power our most sophisticated risk-based calculations. You will take the raw, trade-level Present Value (PV) outputs from our Historical VaR and FRTB Expected Shortfall engines and transform them into a strategic data asset.\nYour impact will be immediate and far-reaching. You will build the data pipelines that handle immense volumes, create intelligent APIs that democratize data access, and leverage cutting-edge OLAP and NLP technologies to provide unparalleled drill-down and analytical capabilities. You will be the go-to expert who empowers senior stakeholders in the Markets and Risk organizations to make faster, smarter decisions.\nKey Responsibilities\nArchitect and build robust, scalable data pipelines to ingest and process billions of trade-level PV calculations from various stress engines.\n\nDevelop and optimize large-scale aggregation jobs using Apache Spark, ensuring high performance and efficiency.\n\nDesign and deliver a suite of \"intelligent data APIs\" that provide flexible, on-demand access to both aggregated and non-aggregated risk data for teams across the firm.\n\nIntegrate Natural Language Processing (NLP) capabilities to create intuitive, query-based interfaces for data exploration, lowering the barrier to entry for complex analytics.\n\nLoad and model massive aggregated datasets into high-performance OLAP engines like Apache Pinot, Apache Druid, and Trino.\n\nBuild powerful, interactive analytical tools and dashboards on top of the OLAP layer, providing summary views and lightning-fast drill-down capabilities.\n\nPartner directly with senior stakeholders in the Front Office, Quantitative teams, and Risk Management to understand their analytical needs and deliver innovative solutions.\n\nWhat We're Looking For\nA true passion for data, analytics, and solving complex problems at massive scale.\n\nA degree in a quantitative or technical field such as Computer Science, Financial Mathematics, or Financial Engineering.\n\nExpert-level, hands-on experience with big data technologies, particularly Apache Spark.\n\nProven experience with high-performance OLAP databases such as Apache Pinot, Apache Druid, or Trino.\n\nStrong programming skills in Java and/or Scala, and expert-level SQL.\n\nStrong background in fundamental computer science concepts, including data structures and algorithms.\n\nA mindset for 'AI-first' development, constantly looking for ways to embed intelligence into systems.\n\nExperience or a strong interest in applying Natural Language Processing (NLP) to data access and analytics.\n\nA knack for solving 'needle in a haystack' problems, with a talent for debugging complex data and access issues.\n\nExperience in the financial industry with an understanding of market risk, derivatives, and risk calculations (VaR, Stress Testing, PV) is highly desirable.\n\nExceptional problem-solving skills and the ability to work independently and lead technical projects.\n\nExcellent communication skills, with the confidence to collaborate with senior business and quantitative stakeholders.\n\nQualifications:\n5+ years of relevant experience using Core Java, Apache Spark, Big Data Technologies HDFC, Hive etc.\n\nExperience in systems analysis and programming of software applications\n\nExperience in managing and implementing successful projects\n\nWorking knowledge of consulting/project management techniques/methods\n\nAbility to work under pressure and manage deadlines or unexpected changes in expectations or requirements\n\n------------------------------------------------------\nJob Family Group:\nTechnology------------------------------------------------------\nJob Family:\nApplications Development------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nCiti 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.\nIf 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.\nView Citi’s EEO Policy Statement and the Know Your Rights poster.","description_format":"text","description_chars":5471,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Payment Processing & Gateways","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-08-27T00:00:00Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long 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