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Data management- Pyspark

India
Full-Time
Mid-Level: 4 to 6 years
Posted on Nov 30 2022

About the Job

Skills

Do you have 3 years of experience in python
pyspark and AWS?

We are Looking for data management-Pyspark

(Immediate joiner or 30 days notice)

Work From Office

Location =India ( any Accenture location)

salary 9 to 13LPA

Skill-3 years of experience into Python and Pyspark.


About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

What would you do?

You will be aligned with our Insights & Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. You will be working as a part of Data Management team which is accountable for Data Management that includes fully scalable relational database management system. ETL(Extract, Transport and Load) - Set of methods and tools to extract data from outside sources, transform it to fit an organization`s business needs and load it into a target such as the organization`s data warehouse. In this role, you will be required to understand Pyspark interface and integration in handling complexities of multiprocessing, such as distributing the data, distributing code and collecting output from the workers on a cluster of machines. 

What are we looking for?

We are looking for individuals who have the following skillset: Python SQL (Structured Query Language) Adaptable and flexible Ability to perform under pressure Problem-solving skills Prioritization of workload Commitment to quality Roles and Responsibilities In this role, you need to analyze and solve increasingly complex problems Your day to day interactions is with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instructions on new assignments You will need to consistently seek and provide meaningful and actionable feedback in all interactions You will be expected to be constantly on the lookout for ways to enhance value for your respective stakeholders/clients Decisions that are made by you will impact your work and may impact the work of others You would be an individual contributor and/or oversee a small work effort and/or team. Please note this role may require you to work in rotational shifts


Interested can share there cv on the below mentioned mail ID.


v-manu.smriti@foundit.ai

Contact no

9996704293

About the company

Monster is a global leader in connecting people and jobs. Every day, Monster aims to make every workplace happier and more productive by transforming the way employers and candidates find the right fit. For 25 years, Monster has worked to transform the recruiting industry. Today, the company leverages advanced technology using intelligent digital, social and mobile solutions, including the fla ...Show More

Company Size

1001-5000 Employees

Headquarter

India

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