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Hands on experience in Python for Data Prototyping, and delivering projects in Data related projects using different AWS technologies like S3, Lambda, Glue, PySpark,
Working knowledge of AWS environment (S3, CLI, Sage Maker)
The incumbent would be responsible to understand & develop ETL Data Prototypes using Python. S/he would work towards creating a positive and innovation friendly environment.
Programming: Unix shell scripting, Python, PySpark and MSSQL.
Design and develop ETL Rules in AWS Glue.
Accountability
Core Responsibility
Strong experience in delivering projects in using Python.
Exposure of working in Global environment and have delivered at-least 1-2 projects on Python.
Delivery collaboration & coordination with multiple business partners.
Must have good experience in leading projects.
Good to have Industry knowledge of the Insurance industry with proven experience across multiple clients
Implemented the developed methodology on Cloud, using AWS services like S3, Lambda, Glue, PySpark, SQS, DynamoDB
Eligibility
Competencies
Mandate Skills
Aware of the Software Development Life Cycle and Quality concepts
Good experience in Python programming language for data analysis.
Good analytical and problem solving skills.
Ability to work using an agile approach, comfortable with ambiguous requirements.
Excellent verbal and written communications skills; Strong interpersonal skills
Demonstrated problem solving skills with ability to analyze situations/problems systematically and deliver effective right-sized solutions in a timely manner
Strong organizational, multi-tasking and time management skills to work effectively in a changing environment balancing operations and project delivery
Ability to communicate effectively to technical and non-technical audiences.
Knowledge of the financial and insurance industries
Experience with developing, publishing and supporting Tableau dashboards
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