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Professional Services - Big Data Consultant
About the company
My client is a Multinational Information Technology and Services Company and as part of their growth they are looking at hiring a Big Data Consultant.
Responsibilities
Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use the services such as (EC2), Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR)
Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings.
Delivery - Engagements include short on-site projects 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 the cloud services.
These professional services engagements will focus on customer solutions such as HPC, batch data processing, Big Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights.
Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects
Insights - Work with the engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of the cloud services.
Push the envelope - Cloud computing is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Big Data / Business Intelligence cloud computing.
Provide advisory support around:
Data Managament
Hadoop 2.x (including Spark and MapReduce)
Programming: SQL, Python, Hive, Pig, Java
Large-scale DWH design
NoSQL (prefer MongoDB, Cassandra, or HBase)
Data Analytics
Advanced analytics (R or SAS)
Data visualization and storytelling
Requirements
Highly technical cloud computing architects to collaborate with our customers and partners on key engagements.
Experience in Data Warehousing and/or Hadoop.
Experience in handling the most complex and high scale (billion + records) data challenges.
Experience in Hadoop 2.x (including Spark and MapReduce)
Hand on knowledge in programming languages: SQL,Python, Hive,Pig,Java
You will work with some of the most innovative customers across many key industries (FSI, Retail, Gaming, Manu). This will provide the opportunity to build data analytics platforms in organizations that will change how they go to market. We help organizations gain insights that weren't possible before, by analyzing non-traditional sources of data, at sizes. |