{"id":3351593,"url":"https://alion.io/job/citi-data-engineer-5","title":"Data Engineer","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":504,"ghost_share":0.006,"stale_share":0.131,"repost_share":0.073,"time_to_fill_p50_days":9,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","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":11500,"max_usd":26000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Hadoop","optional":false},{"name":"Oracle","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"ETL/ELT","optional":true},{"name":"GitHub","optional":true}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-31T02:13:18Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"The Applications Development Programmer Analyst\nCiti is seeking a Applications Development Programmer Analyst 2 (C10) to join its Technology - Data Engineering function, focused on the PySpark / Spark-based Data Platform. In this role, you will design, develop, and maintain scalable data pipelines and analytical solutions, supporting large-scale data operations across enterprise systems. You will work within a full software development lifecycle (SDLC) environment spanning Development (NAM), UAT, and Production.\nactivities.\nCore Technical Duties\nDesign, develop, test, and maintain PySpark and Apache Spark data pipelines for batch and streaming workloads.\nManage and monitor Spark Streaming Jobs (running Sunday evening through Saturday afternoon) performing Eligibility and Data Quality (DQ) checks, publishing data to Kafka sender topics, and processing exception/XMEV requests.\nManage and monitor Spark Batch Jobs (running hourly or every 2 hours) that store audit, inbound, and outbound data into Hive tables (e.g., gfolyreg_managed.SWXPTT_audit).\nRespond to ITRS Alerts and system monitoring events (e.g., job failures, kills, or jobs not triggered within 30 minutes of scheduled time).\nWork with large-scale data sources across Oracle, Hadoop, Impala, and SAS Server.\nConfigure and manage JDBC connections from SAS, Python, and R to dedicated Sandbox/data platform environments.\nCollaborate on schema creation during code deployment; raise CMP tickets for permission grants and country-specific schema access.\nSupport the retirement of legacy applications and champion adoption of modern data engineering technologies.\nTechnical Stack\nTool / Technology - Role in Platform\nPython / PySpark - Primary language for data pipeline development\nApache Spark - Distributed compute engine for large-scale data workloads\nSpark Streaming - Real-time data processing and Kafka integration\nSpark Batch - Scheduled ETL jobs writing to Hive tables\nSAS Server - Main analytical tool with Oracle/Hadoop/Impala access\nHadoop / HDFS / Hive - Distributed storage, batch processing, and table management\nImpala - Fast SQL querying on Hadoop data\nKafka - Event streaming and messaging platform\nOracle / JDBC - Relational database connectivity\nAutosys - Job scheduling, alerting, and monitoring\nRequired Skills & Qualifications\nMust Have:\nProficiency in Python and PySpark for distributed data engineering.\nExperience with Apache Spark (Streaming and Batch) in production environments.\nStrong understanding of SQL and ability to work with relational (Oracle) and columnar (Impala, Hive) databases.\nFamiliarity with Kafka or event-driven architectures.\nExperience with job scheduling and monitoring tools (e.g., Autosys, ITRS).\nKnowledge of data governance, access management, and information security standards.\nStrong problem-solving skills for diagnosing and resolving complex data pipeline issues.\nGood to Have:\nExperience with SAS or equivalent enterprise analytical platforms.\nFamiliarity with SDLC practices across Development, UAT, and Production environments. ( GitHub / Light speed )\nQualifications:\n2-5 years of relevant experience\nExperience in programming/debugging used in business applications\nWorking knowledge of industry practice and standards\nComprehensive knowledge of specific business area for application development\nWorking knowledge of program languages\nConsistently demonstrates clear and concise written and verbal communication\nEducation:\nBachelor’s degree/University degree on information technology or Engineer or equivalent experience\nThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.\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":4778,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"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":"2026-10-27T18:44:42Z"}],"visa":[],"liveness":{"score":83,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.924,"p_room":0.9,"age_days":4,"expected_fill_days":9,"reasons":["conf:0","wave","velocity","win:mid","comp:junior,brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/citi-data-engineer-5","json_url":"https://alion.io/job/citi-data-engineer-5.json","meta":{"generated_at":"2026-10-31T04:38:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6369,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7841},"rest":"https://alion.io/mcp/rest/get_company?id=7841"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fciti-data-engineer-5"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fciti-data-engineer-5"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fciti-data-engineer-5"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/citi-data-engineer-5\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fciti-data-engineer-5"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3351593}},{"tool":"search_jobs","arguments":{"company":"citi.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3351593},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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