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, we're 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.
ExpertiseCollaborate 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.
SolutionsDeliver 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.
DeliveryEngagements 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.
InsightsWork 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.
InnovateEngaging with the internal customer's 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.
BASIC QUALIFICATIONSKnowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3)Experience implementing AWS services in a variety of distributed computing environmentsCollaborate 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 RedshiftEngaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environmentDeliver 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 PREFERRED QUALIFICATIONS5+ years of IT implementation experienceExperience and technical expertise (design and implementation) in cloud computing technologiesExperience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experienceExperience developing software code in one or more programming languages (Java, Python, etc.
)Experience with software development life cycle (SDLC) and agile/iterative methodologies Our inclusive culture empowers Amazonians to deliver the best results for our customers.
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Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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