Job Location: Gurgaon
Analytical Senior Manager – AWS
– Person will be part of the Data Analytics team for a major Insurance client. He/ She will work with different stakeholders as SME for data engineering/data science work.
– A typical work day will involve working with stakeholders in individual contributor role and upscaling the quality of team’s deliverables.
– The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion.
– A suitable candidate should have 8-10 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with aggressively changing environment.
– Experience in cloud, AWS, good to have MLSagemaker experience.
– Experience in insurance preferred but not mandatory.
Key Responsibilities & Skill sets :
Common Skill sets :
– 8-10+ years of experience in Data Engineering and Analytics, machine learning, advanced statistical techniques, AI.
– 2-3+ years of experience in cloud based technology preferable AWS with knowledge on services like EC2, S3, Sagemaker, Redshift, EMR etc.
– Excellent communication & presentation skills
– Prior experience on cloud migration project preferable AWS would be added advantage.
– Experience in managing Python codes and collaborating with customer on model evolution.
– Excellent in project management, team management and conflict management skills
– Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise).
– Superior analytical and problem solving skills
– Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
Data Management Skill sets :
– Ability to Design and Develop an optimized DWHData Lake solution with proper Data Governance including Data Lineage, Data Quality etc.
– Ability to create and understand data models and identify ETL optimization opportunities.
– Exposure to ETL tools like TalendSSISInformatica PC is preferred.
– Exposed to big data technology to lift and shift large datasets (Hadoop/Spark, Hive, Redshift, Python etc.)
– Should have strong grasp of advanced SQL functionalities (joins, complex query, and procedures etc.).
– Strong ability to translate functional specifications / requirements to technical requirements.
Candidate Profile :
– Bachelor- s/Master’s degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply.
– Data analysis experience.
– Superior analytical and problem solving skills.
– Outstanding written and verbal communication skills.
– Able to work in fast pace continuously evolving environment and ready to take up challenges.
– Able to understand cross cultural differences and can work with clients across the globe.
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