Data Engineer
Posted on 2025-03-05
| Category | It Computing Software |
|---|---|
| Location | Gauteng / Johannesburg |
Job Summary
Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-03-05 in the It Computing Software category
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Johannesburg: Data Engineer
Data Engineer
Posted on 2025-03-04
| Category | It Computing Software |
|---|---|
| Location | Gauteng / Johannesburg |
Job Summary
Requirements:
Programming Languages: Proficiency in programming languages such as Python, DBT, Java, or Scala. – Data Governance and Quality : Understanding of data governance principles, data quality management, and data stewardship. – Cloud Computing: Hands-on experience with AWS cloud services, including Redshift, S3, EC2, Lambda, Glue, CloudFormation and IAM. – Analytical Skills: Strong analytical and problem-solving skills to identify data-related issues and propose effective solutions. – Communication Skills: Excellent verbal and written communication skills to collaborate with cross-functional teams and stakeholders.
Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-03-04 in the It Computing Software category
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Data Engineer
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| Salary | 60000.00 Monthly |
|---|---|
| Category | It Computing Software |
| Location | Gauteng / Johannesburg |
Job Summary
Responsibilities:
Develop, optimize, and manage data pipelines and data storage solutions. Work with ETL/ELT tools such as SSIS, Data Factory, Synapse, AirFlow, Glue, Fire Hose, or similar AWS tools. Set up and manage data ingestion processes across Azure, AWS, or GCP environments. Work closely with cross-functional teams to design and implement scalable data solutions. Ensure optimal database performance by understanding SQL internals, including execution plans, wait types, isolation levels, DMVs, and indexing. Optimize and write complex queries, focusing on high performance. Leverage data visualization tools such as Power BI, SSRS, Tableau, or QlikView to produce actionable insights. Develop and maintain version control using Git, and participate in CI/CD pipeline management for deployment strategies. Qualifications and Experience: Bachelors Degree in Computer Science, Software Engineering, Informatics, or Information Systems. Equivalent qualifications or certifications combined with significant industry experience may also be considered. 3-5 years of professional experience working with Microsoft SQL Server, Sybase, or Postgres SQL. Strong T-SQL knowledge and experience writing and optimizing complex queries. Intermediate Python development skills with familiarity in data-related libraries (e.g., Pandas, PySpark, Numpy). Hands-on experience with NoSQL DB systems and understanding of Hadoop, Spark, Map Reduce, and MPP systems. Experience with cloud platforms (Azure, AWS, or GCP) and related data ingestion processes. Working knowledge of SQL Server and database design. Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, Power BI Data Analyst, MCSA/MCSE SQL Server 2012/2014) are a plus. Proficient in version control and CI/CD practices with Git and repositories such as GitHub or Bitbucket. Advantageous: Experience in C# or Java, and understanding of microservices architecture and containerization (e.g., Docker, Kubernetes). Location: Sandton (Hybrid role) Apply now
Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-03-04 in the It Computing Software category
Click Go Apply to apply online!
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Data Engineer
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| Salary | Monthly |
|---|---|
| Category | It Computing Software |
| Location | Gauteng / Johannesburg |
Job Summary
Responsibilities:
Design and Build Data Pipelines: Develop and maintain custom, scalable data pipelines for processing large datasets, including unstructured text and document data. Integrate Data Systems: Collaborate with diverse teams to understand data sources and build robust integrations with various internal and external systems. Build Microservices: Develop microservices to handle data processing tasks, ensuring they are scalable, secure, and efficient. Optimize Performance: Design and optimize table structures, schemas, and database queries for improved data retrieval and storage performance. Kafka and Real-time Data: Leverage Kafka for real-time data streaming and processing, ensuring high availability and low-latency data delivery. Containerization & Orchestration: Use Docker and Kubernetes for deploying and managing data applications in production environments. Collaborate with Teams: Work closely with data scientists, analysts, and other engineers to define requirements and deliver high-quality, reliable data solutions. Ensure Data Quality: Maintain data integrity and implement best practices to ensure the consistency and quality of the data being processed What we are looking for : Bachelor`s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 5 years experience as Date Engineer Strong proficiency in Python: Experience in developing scalable data applications, automating processes, and implementing algorithms. Strong SQL skills: Ability to design efficient queries and optimize database performance. Hands-on experience with Kafka, including setting up and managing streams, and integrating with data pipelines. Proficiency with Docker and Kubernetes for containerization and orchestration in production environments. Experience building bespoke data processing pipelines: Expertise in handling large volumes of data from multiple sources and optimizing processing workflows. Experience building microservices to deliver modular, scalable, and maintainable data solutions. Experience designing table structures and schemas that meet both performance and business requirements. Ability to collaborate with diverse teams, understanding their needs and building integrations that allow for efficient data flow. Java experience is advantageous, particularly for implementing additional data processing logic or integration points. Experience with unstructured text and document data is a plus, especially in processing and transforming such data for analytical purposes. Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful. Please note that most of our positions are remote however candidates should be residing within the traveling distance as circumstance of the opportunity can change.
Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-03-03 in the It Computing Software category
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| Location | Gauteng / Johannesburg |
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Job Summary
Requirements:
Knowledge of Business Intelligence (BI) and self-service data visualization tools such as Qlik Sense, Qlik View, and Power BI. Good knowledge of Database technologies like Postgres, NoSQL, MySQL etc. Technical understanding of databases and enthusiasm for business intelligence and the associated tools. Knowledge of Visual .Net and Python. Advanced knowledge of Data Engineering. Knowledge and application of AZURE DevOps. Containerisation (Kubernetes/Docker) Advantageous. Experience with Monitoring management. Knowledge of Middleware Integration. Knowledge of Data Ingestion. API orientated approach and knowledge. Understanding of object-oriented programming. Experience in Test Driven Software Development. Knowledge of software and business process modelling techniques and tools (e.g. UML). Outputs: Liaise directly with various manufacturing plants worldwide to provide product and service support. Liaise directly with various Mercedes-Benz manufacturing plants worldwide to provide product and service support. Manage and coordinate system upgrades/bug fixes and support with product testing. Design and model solutions for customer innovation and experience. Design, research, develop, analyse and suggest new concepts as well as strategies. Lead and direct different cross-functional programs and projects of varied sizes and types concurrently. Coordinate all cross-functional activities, represent customers internally and collaborate with leaders in varied areas on allocation across projects and resource planning. Ensure to exercise decision-making and independent judgment while being aligned with customers and management. Promote innovations to support business requirements through activities that test, pilot and implement innovative concepts. Roll out and analyse the effectiveness of initiatives that leverage multiplatform technologies. Performing all outputs in compliance to the Company`s Integrity Codes & S.H.E.Q requirements and to perform delegated S.H.E.Q. tasks and duties & to inform superior about deviations. Qualifications Minimum NQF 7 BSC/BCom/BTech in Information Technology or B. Eng. (Industrial Engineering) or relevant equivalent. Package & Remuneration: Negotiable depending on Qualifications and Experience.
Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-03-03 in the It Computing Software category
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Johannesburg: Data Engineer
Data Engineer
Posted on 2025-03-03
| Salary | 1400000 Annually |
|---|---|
| Category | It Computing Software |
| Location | Gauteng / Johannesburg |
Job Summary
Requirements:
Suggest and implement internal process improvements for automation and scalability. Develop and maintain high-performance data pipelines . Streamline CI/CD processes for optimal data operations. Assemble and optimize large, complex data sets for business needs. Conduct unit tests and ensure data consistency . Maintain data quality, security, and governance across all platforms. Support analytics and reporting infrastructure. KPAs: Develop and maintain data warehouse and data lake infrastructure. Optimize database performance, including collations, engines, and indexing . Manage metadata, data catalogues, and user documentation . Implement best practices for data transformation and processing . Ensure compliance with data security and governance standards . Apply Now
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