Experience Range - 8 to 12 years Strong experience with one or more programming languages (Python/Spark). - Demonstrated analytical and problem-solving skills. Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. - Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques. - Experience in Big data technologies like HDFS, Map Reduce, YARN, Apache Spark, Hive. - Familiarity with data formats like Avro, Parquet, CSV, JSON. - Strong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities. - Understanding fundamental design principles behind a scalable application. - Experience in working with UNIX/LINUX and shell scripting. - Good knowledge of database principles, practices with SQL. - Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. Good to Have: - Agile/Scrum methodology experience is required. - Experience in SCMs like GIT and tools like JIRA. - Experience in No SQL databases. - Familiarity with build tools such as Maven and continuous integration like Jenkins/Team City. - Familiarity with cloud and container technologies. - Experience real time data processing - Kafka. Responsibilities: - Translate application storyboards and use cases into functional applications. - Design, build, and maintain productive, reusable, and reliable Python/Scala code. - Ensure the best possible performance, quality, and responsiveness of the applications. - Identify bottlenecks and bugs, and devise solutions to these problems. - Develop high performance & low latency components to run Spark clusters.



- Interpreting functional requirements into design approaches those can be served through Big Data platform. - Collaborate and partner with Global Teams based across different locations. - Be able to propose best practices and standards. - Perform the testing of software prototypes and transfer to the operational team. - Processing of data using Hive, Impala & HBASE. - Performing analysis of large data sets and derive insights. ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Applications Development ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ _Citi 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._ _If 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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Python and Apache Spark Big Data Engineer - Assistant Vice President (Pune)
🏢 Citigroup
📍 Pune