Big Data Engineer - Python and Spark

Job description

The Data/Information Mgt Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job. Qualifications: / Engineering Degree with more 1 - 3 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 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 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 . View Citi’s EEO Policy Statement and the Know Your Rights poster.