PFB JD.
Basic Qualifications
- Master's / Engineering Degree with more than 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, 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
Preferred 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
OTHER DETAILS
- Location: Pune, India
- Employment: Full Time
- Industry: Credit Cards, Retail, Mortgage, Financial Services, Banking
- This function covers incumbents responsible for various data activities, which include development of data assets, transformation of data, data analysis, maintenance, data quality and engineering
- Responsible for development and
- Day-to-day actions are focused on administering defined procedures, analyses and report preparation
- Individuals will have their work thoroughly reviewed and checked by more senior incumbents and will have limited contact outside their immediate area
- Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed.
Qualifications:
- 3-5 years relevant experience
- Developing solutions to business problems using Hive, Hadoop, Spark, Python, Scala experience required. SAS, ML and analytics experience is a plus.
- The ability to engage resources outside of their direct control to achieve objectives
Education:
- Bachelors/University degree or equivalent experience
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