Senior Manager Data Analytics AWS Full Time

Huquo Consulting Pvt. Ltd

8-13yrs

39 days ago

Gurgaon Gurugram

Primary Skills : Data Science, Data Quality, Artificial Intelligence, Data Management, Data Modeling, Data Analytics, Machine Learning.

Secondary Skills : Statistics, Analytics, Python, SQL.

No. of Positions : 10

Salary Range : 9-15 lac

Job Description

Roles and Responsibilities

 

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 ML\Sagemaker 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 DWH\Data 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 Talend\SSIS\Informatica 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.

Job Description

Roles and Responsibilities

 

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 ML\Sagemaker 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 DWH\Data 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 Talend\SSIS\Informatica 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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