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Cloud Data Analytics Consultant

hace 3 semanas

Bogotá, Bogotá D.E., Colombia myGwork - LGBTQ+ Business Community A tiempo completo

At Amazon Web Services (AWS), we're seeking highly skilled Cloud Data Analytics consultants to collaborate with customers and partners on key engagements. Our team members will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects focusing on customer solutions like Data and Analytics, Artificial Intelligence (AI), Machine Learning (ML), and more.

About the Role

This role is part of the AWS Professional Services Associate to Consultant (A2C) program, which accelerates the career development of university graduates and early career professionals. As a member of our team, you'll work closely with enterprise customers locally, regionally, and domestically, with up to 75% travel associated.

While many customers engage ProServe virtually, there's always the potential for onsite engagement, including travel to customer locations as needed. In this role, you'll work with our partners, customers, and focus on our AWS offerings such as Amazon Kinesis, AWS Glue, Amazon Redshift, and more.

You'll help our customers and partners remove constraints that prevent them from leveraging their data to develop business insights. The ideal candidate will have extensive experience with design, development, and operations leveraging deep knowledge in modern data services like DynamoDB, Apache Kafka, Apache Spark, and other industry data structures and standards.

A day in the life of an AWS Professional Services consultant includes working on a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base. You'll collaborate across the entire AWS organization to bring access to product and service teams, delivering the right solution and driving feature innovation based on customer needs.

What We Offer

We offer a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our team is dedicated to supporting new members and caring about your career growth, assigning projects to help each team member develop into a better-rounded professional.

As a member of our team, you'll enjoy a hybrid delivery model with remote delivery methods and onsite engagement, including travel to customer locations as needed. Project engagements include creating white papers, writing blogs, building demos, and other reusable collateral that can be used by our customers.

You'll work closely with our Solution Architects, Data Scientists, and Service Engineering teams to deliver the best results for our customers. We're committed to furthering our culture of inclusion, embracing our differences, and promoting diversity and equity.

We put a high value on work-life harmony, striking a healthy balance between your personal and professional life. We're a customer-obsessed organization, and leaders start with the customer and work backwards.

Requirements

To be successful in this role, you'll need:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field with a conferral date within May 2023 to May 2025
  • 1+ years of hands-on experience programming in languages such as Python, Ruby, Go, Swift, Java, .Net, C++, Node.js, or similar object-oriented language

PREFERRED QUALIFICATIONS:
1+ years of experience of Data platform implementation
Hands-on experience with building data or machine learning pipeline
Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)
Current experience with hands-on implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations
Masters or PhD in Computer Science, Physics, Engineering or Math.
Familiar with Machine learning concepts
Hands-on experience working on large-scale data science/data analytics projects
Experience Implementing AWS services in a variety of distributed computing, enterprise environments.
Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.
Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers.
Experience defining system architectures and exploring technical feasibility trade-offs.
Experiences developing cloud software services and an understanding of design for scalability, performance and reliability.
Ability to prototype and evaluate applications and interaction methodologies.
Experience with AWS technology stack.
AWS Certification(s) such as Solutions Architect Associate, Data Analytics Specialty, and/or Machine Learning Specialty
Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences.