{"id":2989204,"url":"https://alion.io/job/citi-senior-pyspark-python-data-engineer-assistant-vice-president","title":"Senior PySpark Python Data Engineer - 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":448,"ghost_share":0.007,"stale_share":0.098,"repost_share":0.083,"time_to_fill_p50_days":10,"computed_at":"2026-10-23T05:54:15Z"}},"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":55000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":99},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Db2","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Hadoop","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-21T09:22:17Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T08:01:58Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\nJob Profile Name: Senior PySpark Python Data Engineer - Assistant Vice President- C12\nJob Description:\nThe Technical Data Analyst is a senior-level position responsible for bridging the gap between complex business requirements and technical data solutions, leveraging advanced analytical and technical skills to develop data-driven solutions, with a focus on regulatory reporting and liquidity risk initiatives. This role will liaise extensively with business stakeholders and technology teams to articulate data needs, extract insights, and ensure data quality and integrity.\nResponsibilities:\nConsult with business clients to determine system functional specifications and partner with multiple management teams and other units to meet organizational objectives.\nDefine, document, and validate detailed data requirements, data flows, and data lineage for new or enhanced systems and applications.\nProvide technical input during the development and implementation phases, including formulating and defining systems scope, data objectives, and necessary data architecture enhancements for complex, high-impact projects.\nDesign and develop robust data models (conceptual, logical, physical) to support reporting, analytics, and business processes.\nPrepare and curate data for AI/ML model development, working closely with AI engineers to ensure data quality, feature engineering, and model validation.\nUtilize advanced SQL for data extraction, manipulation, and analysis from various relational databases, data warehouses, and Big Data platforms.\nDevelop and maintain data visualization dashboards and reports using tools such as Tableau, Power BI, or QlikView, translating complex data into understandable business insights.\nLead the analysis of complex data sets to identify trends, patterns, and anomalies relevant to regulatory reporting, liquidity risk, and other critical financial functions.\nIdentify and communicate data-related risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment.\nEvaluate new data technologies, analytical tools, and evolving business requirements, and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards.\nServe as advisor or coach to new or lower level analysts.\nAppropriately 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.\nQualifications:\n 8-12 years of experience as a Senior PySpark Python Data Engineer or similar role within the Financial Services industry, preferably in regulatory reporting (e.g., Basel, CCAR, FR 2052a) and liquidity risk.\n Advanced proficiency in PySpark, Python, SQL for complex data querying, analysis, and optimization across large datasets.\nStrong experience with relational databases (e.g., Oracle, SQL Server, DB2) and data warehousing concepts (e.g., dimensional modeling, star/snowflake schemas).\nDemonstrated expertise with Big Data technologies including Hadoop, Spark (PySpark /Scala Spark), Kafka, and cloud-based data platforms (e.g., AWS S3, Databricks).\nDemonstrated experience with data modeling tools and techniques.\nProficiency in data visualization tools (e.g., Tableau, Power BI, QlikView) and strong Excel skills for data manipulation and presentation.\nExperience with scripting languages for data analysis (e.g., Python, R) is highly desirable.\nExperience with data preparation for AI/ML models and understanding of core AI/ML concepts and workflows is highly desirable.\nComprehensive knowledge of data analysis principles, methodologies, and data governance frameworks.\nExperience across all phases of the Software Development Life Cycle (SDLC), with a focus on data-centric projects.\nConsistently demonstrates clear and concise written and verbal communication.\nDemonstrated problem-solving and decision-making skills.\nAbility to work under pressure and manage deadlines or unexpected changes in expectations or requirements.\nEducation:\nBachelor's degree/University degree or equivalent experience.\nMaster's degree preferred.\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":5576,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Cards & Card Issuing","Wealth Management & Financial Advisors","Payment Processing & Gateways","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-10-21T09:22:17Z"}],"visa":[],"liveness":{"score":89,"band":"hot","label":"Hiring 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