{"id":3029148,"url":"https://alion.io/job/citi-python-and-apache-spark-big-data-engineer-assistant-vice-president","title":"Python and Apache Spark Big 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":98,"open_postings":557,"ghost_share":0.009,"stale_share":0.206,"repost_share":0.068,"time_to_fill_p50_days":9,"computed_at":"2026-11-08T05:47:12Z"}},"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":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Agile","optional":true},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true},{"name":"HBase","optional":true},{"name":"Jenkins","optional":true},{"name":"Scala","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-11-08T04:19:54Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Experience Range - 8 to 12 years\nStrong experience with one or more programming languages (Python/Spark).\nDemonstrated analytical and problem-solving skills. Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. \nComfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques. \nExperience in Big data technologies like HDFS, Map Reduce, YARN, Apache Spark, Hive. \nFamiliarity with data formats like Avro, Parquet, CSV, JSON. \nStrong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities. \nUnderstanding fundamental design principles behind a scalable application. \nExperience in working with UNIX/LINUX and shell scripting. \nGood knowledge of database principles, practices with SQL. \nApplication performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. 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Responsibilities: \nTranslate application storyboards and use cases into functional applications. \nDesign, build, and maintain efficient, reusable, and reliable Python/Scala code. \nEnsure the best possible performance, quality, and responsiveness of the applications. \nIdentify bottlenecks and bugs, and devise solutions to these problems. \nDevelop high performance & low latency components to run Spark clusters. \nInterpreting functional requirements into design approaches those can be served through Big Data platform. \nCollaborate and partner with Global Teams based across different locations. \nBe able to propose best practices and standards. \nPerform the testing of software prototypes and transfer to the operational team. \nProcessing of data using Hive, Impala & HBASE. \nPerforming analysis of large data sets and derive insights.\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 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