Responsibilities:

• Engineering Degree with 4+ 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

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