Job Title: Data Analytics Consultant
Location: Greater London Area and Kent, UK
Minimum Qualifications:
1. Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience).
2. 2+ years of experience in data platform implementation and software development using languages like Java, JavaScript, or Python.
3. Hands-on experience building data or machine learning pipelines, and familiarity with machine learning concepts.
4. Strong technical communication skills, both written and verbal.
Key Responsibilities:
1. Collaborate with customers and partners on key customer engagements.
2. Apply deep technical expertise to solve complex customer challenges and develop cloud-based solutions at scale.
3. Assist on projects and design, develop, and operate data analytics solutions.
4. Utilize services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon SageMaker, and Amazon EMR.
5. Create white papers, write blogs, and build demos for customer use.
About the Team:
AWS ProServe engages in a variety of projects for customers and partners, focusing on customer success and collaboration across the AWS organization.
Preferred Qualifications:
1. Advanced degree (Masters or PhD) in Computer Science, Physics, Engineering, or Mathematics.
2. Hands-on experience with large-scale data science/analytics projects and machine learning infrastructure.
3. Proficiency in AWS services and big data tools such as Hadoop, Spark, and Kafka.
4. Experience developing scalable, high-performance cloud software services.
5. AWS Certification(s), such as Solutions Architect Associate and/or Data Analytics Specialty.
AWS values diverse experiences. We encourage candidates to apply even if they do not meet all preferred qualifications.
Amazon is an equal opportunity employer. We value your passion to discover, invent, simplify, and build. For more information, please consult our Privacy Notice.
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