Job Description
You will work within a team solving complex problems to deliver real business value across a wide range of industries such as mining, telco’s, retail and financial services. You will help develop best practices and drive improvements in data engineering across the
Business!!
Requirements:
- Graduate or Postgraduate degree in Computer Science, Information Technology,
- Statistics, Engineering or related technical field
- 8+ years of relational SQL database
- Solid understanding of Apache Spark as a distributed data processing framework
- Experience in designing, implementing and performance tuning solutions in Apache Spark
- Experience in complex data warehouse and data lake design
- Experience in building, optimising and manging data pipelines for large and complex datasets
- Experience using Azure cloud data platform technologies:
- Azure Storage / Data Lake
- Azure SQL Database
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics to implement data pipelines and analytical solutions
- Experience in Python would be beneficial
- Experience with streaming technologies such as Spark streaming or Kafka would be beneficial
- A relevant data engineering certification would be beneficial
Reference Number for this position is GZ60673 which is a permanent REMOTE position offering a cost to company salary of R1.1m per annum negotiable on experience and ability. Contact Garth on *****@*****.co.za or call him on (***)***-**** to discuss this and other opportunities.
Are you ready for a change of scenery? The 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.********.co.za for more great positions.
Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals!
Explore More Opportunities
Get Similar Job Alerts
Job Seeker Tip
Quantify your achievements on your CV using numbers and percentages where possible.