Big Data Consultant, Data & Analytics

Amazon

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profile Job Location:

Hyderabad - India

profile Monthly Salary: Not Disclosed
Posted on: 11 days ago
Vacancies: 1 Vacancy

Job Summary

AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector

Are you a Data Analytics specialist Do you have Data Warehousing Hadoop/Data Lake experience Do you like to solve the most complex and high scale (billions records) data challenges in the world today Do you like to work on-site in a variety of business environments leading teams through high impact projects that use the newest data analytic technologies Would you like a career path that enables you to progress with the rapid adoption of cloud computing

At AWS ProServe India LLP were hiring highly technical cloud computing architects to collaborate with our internal customers and partners on key engagements. Our consultants will develop deliver and implement AI IOT and data analytics projects that help our internal customers leverage their data to develop business insights. These professional services engagements will focus on solutions such as Machine Learning IoT batch/real-time data processing Data and Business intelligence.
You will be required to travel to client locations and deliver professional services when needed.


.Expertise - Collaborate with AWS field BD pre-BD training and support teams to help partners and internal customers learn and use AWS services such as Athena Glue Lambda S3 DynamoDB NoSQL Relational Database Service (RDS) Amazon EMR and Amazon Redshift.


Solutions - Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits understanding requirements creating packaged Data & Analytics service offerings.


Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.

Insights - Work with AWS engineering and support teams in India to convey partner and internal customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.

Innovate - Engaging with the internal customers business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment

This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune.


About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

- Knowledge of the primary aws services (ec2 elb rds route53 & s3)
- Knowledge of AWS services including compute storage networking security databases machine learning and serverless technologies
- Experience designing planning and delivering content solutions that meet the needs of technical business customers
- Experience relying on analytics and data to cultivate deep customer empathy shape product decisions and track effectiveness of change

- 5 years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design development and deployment of business software at scale or recent hands-on technology infrastructure network compute storage and virtualization experience
- Bachelors degree in business administration finance economics computer science data science engineering or other related field

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Contract

AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector Are you a Data Analytics specialist Do you have Data Warehousing Hadoop/Data...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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