passionate about the automotive industry and the power of data-driven insights? Do you thrive on solving complex you to join their dynamic team as a Data Scientist Develop data science solutions and integrate and scale development, deployment, and operations support for Big Data solutions and infrastructure Managing the expectations business processes Analyses the data and build reports by using data visualisation tools such as Qlik skills. 3 – 5 years of experience in the field of Data Science
Our client requires the services of a Data Scientist/Engineer ( Advanced) - Midrand/Menlyn/Rosslyn/Home COMMENCEMENT: As soon as possible ROLE: Develop data science solutions and integrate and scale these development, deployment, and operations support for Big Data solutions and infrastructure. Managing the expectations business processes. Analyses the data and build reports by using data visualization tools such as Qlik skills. 3 – 5 years of experience in the field of Data Science ESSENTIAL SKILLS: Strong background in mathematics
as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Computer Science, Data Engineering or a comparable field of study with a focus on data intensive applications Experience in architecting and implementing scalable data pipelines in cloud environments, preferably Azure Azure. ESSENTIAL SKILLS: Programming skills in data related programming languages and frameworks, such as
Our client requires the services of a Data Engineer/Scientist ( Expert) - Midrand/Menlyn/Rosslyn/Home as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV. Experience working with Data Quality Tools
**Attention Data Wizards!**
**What You'll Do:**
-
/>- Build and maintain Big Data Pipelines like a boss ?
- Work your magic with Terraform, Python
your AWS expertise to the table and level up our data game ??
**What You'll Need:**
- A passion for data, a love for collaboration, and a sprinkle of tech
development ??
Ready to embark on your data adventure? Apply now and let's create something
Our client requires the services of a Data Engineer/Scientist (Senior) – Midrand/Menlyn/Rosslyn/Home as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash Experience in working with Enterprise Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV etc. Experience working with Data Quality
nux / Unix
Role Title: Data Streaming Platform Engineer (Advanced)
Essential
applications on Kubernetes clusters
- Familiarity with Data Modeling and Database technologies (e.g., Postgres
AWS Data Engineer will be responsible for building and maintaining Big Data Pipelines using Data Platforms Platforms and must ensure that data is shared in line with the information classification requirements on expertise in data modelling Oracle SQL. Exceptional analytical skills analyzing large and complex data sets. Perform thorough testing and data validation to ensure the accuracy of data transformations. Strong written building data pipeline using AWS Glue or Data Pipeline, or similar platforms. Familiar with data store such