Senior Data Architect, Data Lake at TalentUp Africa

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 on your career. You’ll be encouraged to bring your experiences, talents, and passions to work.
• You will help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
• You will deliver on-site technical engagements with customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating packaged Data & Analytics service offerings.
• You will work on short on-site projects proving the use of AWS services to 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 AWS cloud services.
• You will work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
• You will engage with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment

Your Profile

Qualification and Experience

• Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
• 8+ years of experience of IT platform implementation in a technical and analytical role
• 5+ years’ experience of Data Lake/Hadoop platform implementation
• 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations
• AWS Solutions Architect Associate or Professional and the AWS Data Analytics or Machine Learning Speciality Certification"
• Experience Apache Hadoop and the Hadoop ecosystem
• Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
• Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)
• Experience developing software code in one or more programming languages (Java, Python, etc)