Big Data Jobs in Johannesburg
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Search Results - Big Data Jobs in Johannesburg
E-Merge-Johannesburg
An expert in integrated corporate benefits well known for outstanding usability and integration within the banking space is looking for a specialist capable of working within the capacity of a BI Big Data Engineer who will be responsible...
Johannesburg
data and how to use this effectively to streamline the output required.
Good programming skills, specifically for big data and automation of reports
Great at working under pressure to resolve issues.
Strong problem-solving skills.
Excellent...
Standard Bank of South Africa Limited-Johannesburg
architecture, whilst optimising data flow and collection to ultimately support data initiatives.
Qualifications
Minimum Qualifications:
Experience Required:
• Data Monetisation
• Data & Analytics
• 3-4 years: Experience with big data tools: Hadoop, Spark...
appcast.io -
Johannesburg
Responsibilities:
• Apply advanced data science techniques to optimize data value extraction and analysis.
• Design, develop, and maintain projects using Big Data technologies.
• Utilize machine learning, data mining, and anomaly detection...
Standard Bank of South Africa Limited-Johannesburg
Additional Information
Experience Required:
3 - 4 years:Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management...
appcast.io -
Johannesburg
experience
• Data Vault and dimensional modelling techniques
• SQL experience
• Big data experience such as Hadoop, Spark, AWS EMR
• Experience with data streaming technologies such as Kafka, AWS
• Cloud technologies and ETL Tools
KPAs:
• Design and develop...
TransUnion-Johannesburg
Data and Business Intelligence. Candidate is expected to fulfill the role of bridging the gap between business and Big data Team; establishing, implementing and developing of current and new Business Intelligence Reporting to enhance customer...
appcast.io -
Job Masters-Johannesburg
in a cross-section of the following technologies (recent 2 years) is required:
o Project Participation: Agile frameworks like Scrum or Kanban (essential)
o Data: DataBricks (essential), PySpark (essential), SQL (essential), o Big Data: MS Azure (essential...
Johannesburg
experience
• Proficient in SQL (both Oracle SQL and Hive SQL)
• Highly proficient in Power BI and Excel
• Excellent visualisation and analytical skills
• Experience building data virtualization data marts through SSAS
• Experience with big data (Hadoop...
E-Merge-Johannesburg
Oracle/PostgreSQL
• Py Spark
• Boto3
• ETL
• Docker
• Linux / Unix
• Big Data
• Powershell / Bash
The Reference Number for this position is NG58524 which is a Contract position in Pretoria and Johannesburg offering a contract rate negotiable between R600...
Johannesburg
be an advantage
• Experience in AWS Cloud infrastructure
• Active working experience in Big Data is ideal
• Experience in market research, marketing industries, and survey & sampling data would be beneficial
Job & Description:
• Collaborate with multiple teams...
E-Merge-Johannesburg
that support clients end-to-end needs has an opening for an Intermediate Data Engineer who will take responsibility for driving, designing and building scalable ETL systems for a big data warehouse to implement robust and trustworthy to join a team that prides...
Specd-Johannesburg
CloudFormation, CodeBuilder, CodeDeploy).
• +3 years analytics tools and Big Data Platforms experience like Elastic Search, Kafka (Hadoop).
MANDATORY SKILLS:
• +3 years Datapower Gateway experience (admin, operational and development).
• +3 years API Connect...
VML South Africa-Johannesburg
of growth opportunities in different areas, from Big Data Analytics to Electric Vehicles.
You will be managed by the Director of Customer Analytics, who will be invested in accelerating your growth and advocating for your success.
Key responsibilities...
appcast.io -
E-Merge-Johannesburg
building and optimising big data data-pipelines, architectures and data sets.
• 8-10 years deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional...
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