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Discover your future at Citi. Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Requirements:
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
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
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
Bachelors/University degree or equivalent experience
Nice to have:
Exposure to data ingestion, ETL tools such as Talend, modeling tools, Performance Management tooling such as Pepper data, Cloudera stack will be a plus
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