About the Company

Our client is one of the world’s biggest providers of on-demand cloud computing platforms and APIs to individuals, companies, and governments. Offering over 200 fully featured services from data centers around the world. Our client has over 17 years of experience delivering cloud solutions to millions of users around the world, and has the most operational experience, at greater scale, of any cloud provider.

Job Description

• In this role, you’ll work with innovative builders who are pushing the boundaries of cloud technology. You’ll get to be bold, think big, and make an impact with your career. You’ll be encouraged to bring your experiences, talents, and passions to work.
• You will work with the clients customers and focus on their AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help customers to remove the constraints that prevent them from leveraging their data to develop business insights.
• You will engage in a wide variety of projects for customers, providing collective experience from across the AWS customer base and are obsessed about customer success.
• You will develop and define key business questions and to build data sets that answer those questions.

Your Profile

Qualification and Experience

• Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field.
• 5+ years’ experience of Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations.
• Two (2) AWS Certification(s) at the associate, professional or specialty certification offered by Amazon Web Services and 1 AWS certification in-progress with expected completion in 1 month.
• Experience with analytic solutions applied to the Marketing or Risk needs of enterprises.
• Basic understanding of machine learning fundamentals.
• Ability to take Machine Learning models and implement them as part of data pipeline.
• Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis).
• Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
• Current hands-on implementation experience required.
• Experience with design, development and operations that leverages deep. knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties.

About TalentUp Africa

TUA (TalentUp Africa) is a global training, recruitment, outsourcing, and relocation company based in the US, Nigeria, and Barbados. We work with the goals to empower top African tech professionals; break through global barriers; and to solve the global tech talent crisis by opening opportunities for African talent and global firms.