{"id":3017072,"url":"https://alion.io/job/citi-senior-data-platform-engineer-assistant-vice-president","title":"Senior Data Platform 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":495,"ghost_share":0.006,"stale_share":0.133,"repost_share":0.075,"time_to_fill_p50_days":9,"computed_at":"2026-10-28T05:59:10Z"}},"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":23000,"max_usd":54000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":110},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"MS SQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-21T16:49:44Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-28T09:51:50Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"We are seeking a highly skilled and motivated Senior Data Platform Engineer, AVP (Python/PySpark, Microsoft SSIS, SQL Server, ETL & Database Development) to design, develop, enhance, and support robust, scalable, and high-performance data processing solutions.\nThe ideal candidate will combine strong hands-on expertise in Python/PySpark, SQL Server, ETL/data pipelines (Microsoft SSIS ), and large-scale data platforms, with experience troubleshooting production data applications, optimizing database performance, and working across enterprise data environments.\nThe candidate will be working independently on complex assignments while collaborating with engineering , infrastructure, and business teams.\nResponsibilities\nData Pipeline & ETL Development: Design, develop, test, and support scalable ETL/data-processing pipelines using Python/PySpark, Microsoft BI/SSIS, SQL, and related technologies.\nSQL Server Development: Develop and optimize complex SQL queries, stored procedures, functions, data transformations, and database objects for high-volume applications.\nDatabase Performance: Identify and resolve query and database performance issues through execution-plan analysis, indexing, query optimization, statistics, and appropriate database design techniques.\nLarge-Scale Data Processing: Develop and support solutions processing large data volumes across SQL Server and distributed data platforms.\nData Architecture & Modeling: Apply relational, dimensional, and data-warehouse modeling principles to build scalable and maintainable data solutions.\nProduction Support & Troubleshooting: Analyze failed jobs, data-quality issues, performance problems, and production incidents; perform root-cause analysis and implement sustainable resolutions.\nJob Scheduling & Automation: Develop and support enterprise batch-processing workflows using scheduling/orchestration platforms such as AutoSys.\nBig Data Platforms: Work with Hadoop ecosystem technologies including HDFS, Hive and related distributed-processing technologies.\nData Quality & Reconciliation: Implement validation, reconciliation, exception handling, logging, monitoring, and data-quality controls within data pipelines.\nCode Quality: Participate in code reviews and enforce development standards for SQL, Python/PySpark, ETL, and data-processing components.\nDevOps: Use Git-based source control and participate in CI/CD processes; work with container technologies such as Docker/Kubernetes where applicable.\nSecurity: Follow secure data-development practices, access-control requirements, encryption standards, and organizational security policies.\nTechnical Collaboration: Work closely with application developers, infrastructure teams, business teams, and other technology groups to design and deliver solutions.\nContinuous Improvement & AI: Evaluate new technologies and leverage approved AI-assisted development tools to improve code quality, troubleshooting, refactoring, and developer productivity.\nAppropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding the firm, its clients, and assets while complying with applicable laws, rules, regulations, and policies.\nRecommended Qualifications\n8+ years of relevant experience in data engineering, application development, database development, or related technology roles.\nStrong hands-on experience with Python and PySpark for large-scale data processing and ETL development.\nStrong proficiency in SQL/T-SQL and relational database technologies, preferably Microsoft SQL Server.\nExperience developing and supporting complex SQL queries, stored procedures, database objects, and high-volume data-processing solutions.\nStrong understanding of SQL Server performance tuning, including query execution plans, indexing, statistics, joins, locking/blocking, and query optimization.\nExperience with Microsoft BI/SSIS or comparable enterprise ETL technologies.\nExperience working with large datasets and distributed data platforms such as Hadoop/HDFS/Hive.\nStrong understanding of ETL architecture, data warehousing, dimensional modeling, and relational/3NF modeling.\nExperience implementing data-quality checks, reconciliation, audit controls, exception handling, and production monitoring.\nExperience with enterprise scheduling/orchestration tools such as AutoSys.\nExperience with Git, CI/CD, and modern development practices.\nFamiliarity with Docker/Kubernetes is preferred.\nFamiliarity with NoSQL technologies such as MongoDB is beneficial.\nStrong analytical, troubleshooting, communication, and problem-solving skills.\nAbility to work independently on complex technical assignments while collaborating effectively across teams.\nExperience mentoring or providing technical guidance to other developers\nEducation\nBachelor’s degree/University degree or equivalent experience.\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":5954,"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 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