Are you a proactive, team-orientated, and resilient problem solver with in-depth knowledge of Azure, and vast experience as a SQL Data Engineer? If so, this one\u2019s for you.<\/p>\n
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Job Title: Senior SQL Data Engineer – Hybrid\/Remote – Up to R1.5m PA<\/strong> Job Summary:<\/strong> What You\u2019ll Need to Be Successful:<\/strong> Got The Skills?<\/p>\n SQL Reference Number for this position is BRM55672 which is a permanent position based in Sandton, Johannesburg, or remote if in other provinces, offering a cost-to-company salary of up to R1.5m PA. Contact Bryce on brycem@e-merge.co.za or call him on 011 463 3633 to discuss this and other opportunities.<\/p>\n Are you ready for a change of scenery? E-Merge IT recruitment is a specialist niche recruitment agency. We offer our candidates options so that we can successfully place the right developers with the right companies in the right roles. Check out the e-Merge website www.e-merge.co.za for more great positions.<\/p>\n Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals!<\/p>\n
\nLocation:<\/strong> Sandton<\/p>\n
\nDuties & Responsibilities:<\/strong>
\nThis multinational Business Tech organization that drives real value for their clients is seeking a Senior SQL Data Engineer to join their team. You will have the opportunity to work with a diverse range of technologies, and service a wide range of clients from multiple industries including mining, telecommunications, retail, and financial services.<\/p>\n
\nDegree in Computer Science, IT, Statistics, Engineering, or related technical field.
\n8 or more years of relational SQL database
\nIn depth understanding of Apache Spark
\nExperience in designing, implementing and optimizing solutions in Apache Spark
\nExperience with data warehouse and data lake design
\nRelevant data engineering certification would be beneficial
\nExperience in building, optimizing and managing data pipelines for large and complex datasets<\/p>\n
\nAzure
\nPython (advantageous)
\nExperience with Spark streaming or Kafka would be beneficial<\/p>\n