**Responsibilities:** + Engineering Degree with 1-2 years of experience in BigData systems, Hive, Hadoop, Spark (Python/ scala) and cloud based data management technologies + Hands-on experience in Unix Scripting, Python and Scala programing along with strong experience in SQL. + Comfortable working with completed unstructured, undocumented code and turning it around into best in class code redesigning costly compute and data processes and aligning to best development standards + Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. + Well versed with necessary data preprocessing and application engineering skills + At least 3 years of experience designing software systems with intense computational needs across real time and batch process . + Experience and understanding of Supervised, unsupervised machine learning techniques + Exposure to data ingestion, ETL tools such as Talend, modeling tools, Performance Management tooling such as Pepper data, Cloudera stack will be a plus + Knowledge of data management, data governance, data security and regulatory practices + Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form + Should have experience of working in onsite, offsite delivery model + Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. + Experience in Credit Cards and Retail Banking + Should have excellent communication and inter-personal skills + Strong process/project management skills + Multiple stake holder management + Control orientated and Risk awareness **Qualifications:** + Fast Learner with a desire to excel and attitude to partner and solve problems in complex environments placing business objectives at center or all activity. + Experience in Performance Tuning, Code Re-engineering is preferred. + Experience in broad IT architecture and design preferred across data and channels + Experience in query tuning, automation technologies (Autosys, Jenkins, Service Now) preferred + Exposure to container technology, Machine learning will be a plus **Education:** + Bachelors/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ **Job Family Group:** Decision Management ------------------------------------------------------ **Job Family:** Data/Information Management ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **Other Relevant Skills** Python (Programming Language), Spark SQL. ------------------------------------------------------ _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.