Associate Big Data Specialist

Dallas, Texas, USA

Full Time
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Posted 1 week ago

At Amazon Web Services (AWS), we’re hiring Associate Big Data Specialists to help our customers develop technical expertise and deliver results in key engagements, often alongside our partners. Our technical specialists will help customers experiment with proofs of concept, provide guidance on AWS best practices, and help customers and partners succeed in their implementation projects. These professional services engagements will focus on key customer solutions such as web applications, enterprise applications, HPC, IoT, batch processing, big data, archiving, and disaster recovery. AWS Professional Services engages in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base. We are obsessed about strong success for the customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered, and to drive feature innovation based upon customer needs.
If you have an entrepreneurial spirit, are eager to deliver results, are deeply technical and highly innovative, and a voracious learner, we want to talk to you.

The Associate Big Data Specialist is a one-year program. At the end of the program you will choose a track suited to your strengths and preference. These tracks include:
Data Lake & Analytics Specialist – 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. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
Data Warehouse & MPP Specialist – This role will specifically focus on large scale data warehousing and database migration capabilities. Engagements will include Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

Data Engineer – In this role, you will work with our partners, customers and focus on our AWS Analytics service offering such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Athena, AWS ML, and more…
This position is located in Texas, you must be located in the Dallas area or willing to relocate. Up to 25% travel is required for this role.





Basic Qualifications


· Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
· Experience designing and deploying large-scale distributed data processing systems.
· Foundation in computer science, with strong competencies in data structures, algorithms, and software design.
· Expertise in one or more programming languages (preferably Python or Java.)

Preferred Qualifications

· Specialized technical degree or equivalent experience, and/or graduate degree.
· Experience with Machine Learning and Deep Learning approaches.
· Knowledge of the primary AWS services (EC2, ELB, RDS, Route 53, and S3). 

· Experience in AWS Platforms and Service
· Experience with TCP/IP Networking a plus
· Ability to lead client specific strategic engagements involving customer/partner teams
· Understanding and ability to participate in all phases of the SDLC including requirements gathering, business analysis, configuration management and quality control desired
· Desire and ability to interact with C-Level/Director level customers in IT/Business to craft their Enterprise Architecture and IT Strategies
· Strong sense of ownership, urgency, and drive.

Amazon is committed to a diverse and inclusive workplace. 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.






Job tags: AWS Big Data Data Warehousing Deep Learning Engineering Java Machine Learning ML MPP Python Redshift Travel
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