Big Data Jobs
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Search Results - Big Data Jobs
IOCO-Johannesburg
iOCO is seeking a skilled Big Data Administrator/Engineer with strong hands-on experience in Cloudera’s ecosystem (Hive, Impala, HDFS, Ozone, Hue, NiFi) and proven expertise in Informatica BDM/DEI. The role involves administering and configuring...
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Remote Recruitment-South Africa
workable.com -
a critical role in defining and automating data processes using cutting-edge Big Data technologies within a Market Risk environment.
This position is ideal for someone with strong SQL, ETL, and process design expertise who is eager to step into a role...
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A 1L Realization (Pty) Ltd-Johannesburg
Education:
• Bachelor of Science, Computer Science, Big Data, Database Administration or related fields.
• Evidence of strong skills in Data pipeline building.
Experiences:
• Proven experience (3+ years) in Advanced Data Engineering
• Big Data...
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PBT Group-Johannesburg
analytics frameworks.
• Translate complex requirements into scalable, secure, high-performance pipelines.
• Build & optimize batch/real-time data solutions using AWS & Big Data tools.
• Lead engineering efforts across multiple agile projects.
• What You...
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Collab SA-South Africa
What we're Looking For
Essential:
• 5+ years of data engineering experience with a focus on AWS
• Strong proficiency in Python and SQL
• Hands-on experience with big data technologies (Hadoop, Spark)
• Knowledge of AWS data services and best...
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PBT Group-Cape Town
analytics frameworks.
• Translate complex requirements into scalable, secure, high-performance pipelines.
• Build & optimize batch/real-time data solutions using AWS & Big Data tools.
• Lead engineering efforts across multiple agile projects.
• What You...
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Boardroom Appointments-Johannesburg
Data Platform Engineer - 12 Month Contract
Key Responsibilities
Platform Engineering & Development
• Design, implement, and maintain Big Data platforms (e.g., Hadoop, Spark, Kafka) used across the CIB environment.
• Build robust batch and real...
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Canonical-Pietermaritzburg
technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).We are facing the interesting problem of fault-tolerant mission-critical distributed systems...
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E-Merge-Johannesburg
IT methodology, and quality standards have an opening for an AWS Data Engineer.
Responsibilities:
• Responsible for designing, building, and maintaining Big Data pipelines
• As custodians of data, they ensure data sharing follows information...
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Canonical-Virginia
technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).We are facing the interesting problem of fault-tolerant mission-critical distributed systems...
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Open Source (Pty) Ltd-Pretoria
technical growth.
What You Bring:
• 58 years experience in software development, including Python and Big Data pipelines.
• Strong experience with Palantir Foundry (Slate, Workshop, Ontology Manager, Data Lineage, Pipelines, Fusion, Contour).
• Experience...
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Canonical-Vereeniging (GP)
technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).We are facing the interesting problem of fault-tolerant mission-critical distributed systems...
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PBT Group-Johannesburg
analytics frameworks.
• Translate complex requirements into scalable, secure, high-performance pipelines.
• Build & optimize batch/real-time data solutions using AWS & Big Data tools.
• Lead engineering efforts across multiple agile projects.
What You...
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E-Merge-Johannesburg
for big data processing.
• Strong SQL skills for querying and managing relational databases.
• Industry Experience: Prior experience in the insurance sector, with an understanding of insurance data structures and regulatory requirements.
The Reference...
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Network Recruitment-Johannesburg
tools (Docker and Kubernetes)
• Knowledge of MLOps practices, including model versioning, monitoring, and retraining
• Familiarity with big data and storage tools like Spark, Hadoop, and vector databases
• Excellent communication, teamwork, innovation...
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