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Johannesburg: Data Engineer

Data Engineer

Posted on 2025-02-06

Salary Monthly

Location

Job Summary

What you will be doing: We are looking for an experienced Data Engineer with strong Python and SQL skills, as well as hands-on experience with Kafka, Docker, and Kubernetes. The ideal candidate will have a proven track record in building bespoke data processing pipelines, developing microservices, and designing data table structures and schemas. You will collaborate with cross-functional teams to integrate and optimize data systems, while working with both structured and unstructured data. Key

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 2025-02-06 in the It Computing Software category

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PBT Group is seeking a skilled Data Engineer to join our team. The ideal candidate will have experience working with Oracle DB, SQL Server, and T-SQL, with any exposure to Ab Initio being a beneficial addition. The role involves developing and optimising data pipelines, ensuring data integrity, and supporting business intelligence and analytics initiatives. Duties /

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Senior Data Engineer

Error making API request.
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Johannesburg: Data Engineer

Data Engineer

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Location

Job Summary

JOB DESCRIPTION INFORMATION: Job Title: Data Engineer Employment Type: 2 Year Fixed Term Contract Work Model: Fully Remote JOB CONTEXT: We are looking for talented individuals in the Data Engineering space to support with our companies product. This individual will be responsible for frontend data engineer within the cloud environment. Expert knowledge within Cloud based environment specifically AZURE. Will support with everything data related within this product space from ingestion, integration, manipulation, monitoring, reporting, as well as data management support. Should have sufficient DevOps toolchain knowledge. Solid expertise with PowerBI Desktop, PowerBI Service. Solid expertise in Data Modelling, Star-/ Snowflake schema. Good to have experience with GitHub, Azure DevOps, Confluence. Technical

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 2025-02-04 in the It Computing Software category

Click Go Apply to apply online!


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Data Engineering Specialist

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PBT Group currently has numerous vacancies for Data Engineers skilled in tools such as the Microsoft Stack (SSIS, SSRS, SSAS), Power BI, AWS, Azure, DataStage, SAS, Oracle BI etc. Duties: Design, develop, test and deploy ETL for ODS and data mart projects,


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Senior Data Engineer

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Johannesburg: Data Engineer

Data Engineer

Posted on 2025-01-31

Salary Monthly

Location

Job Summary

What you will be doing The ideal candidate will have extensive experience in data engineering, particularly with Ab Initio, and will be responsible for designing, developing, and maintaining the data infrastructure. Design, build, and maintain scalable data pipelines using Ab Initio. Develop ETL processes to extract, transform, and load data from various sources. Integrate data from multiple sources to create a unified data environment. Ensure data quality and consistency across different systems. Monitor and optimize the performance of data pipelines and ETL processes. Implement best practices for data storage and retrieval. Work closely with data scientists, analysts, and other stakeholders to understand data needs and requirements. Collaborate with cross-functional teams to ensure seamless data integration. Identify and resolve data-related issues and discrepancies. Provide support for data-related queries and requests. What we are looking for: Bachelorâ??s or Masterâ??s degree in Computer Science, Engineering, Information Technology, or a related field. 5 years of experience in data engineering and ETL development. Extensive experience with Ab Initio, including developing and maintaining data pipelines. Proficiency in SQL and other database technologies. Experience with big data technologies such as Hadoop, Spark, and Hive. Experience with cloud platforms such as Azure. Familiarity with scripting languages like Python or R. Knowledge of data governance and security practices 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 2025-01-31 in the It Computing Software category

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Senior Data Engineer

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Johannesburg: Data Engineer

Data Engineer

Posted on 2025-01-29

Location

Job Summary

We are seeking a skilled Data Engineer to design and optimize scalable data infrastructure for AI, machine learning, and generative AI initiatives. This role involves building ETL/ELT pipelines, managing AWS-based data systems, and collaborating with cross-functional teams to develop cutting-edge solutions. Ideal candidates will have experience in AWS services, MLOps frameworks, and tools like Airbyte, with a strong focus on automation, data governance, and performance optimization. If youre passionate about leveraging data to drive innovation, wed love to hear from you Key Responsibilities Data Pipeline Development: Design and maintain ETL/ELT pipelines using tools like Airbyte for seamless data integration. AWS Data Solutions: Build and manage data infrastructures with AWS services like S3, Redshift, Glue, Lambda, and Athena. Data Architecture: Develop scalable, cost-effective data systems for AI applications. AI Integration: Collaborate with data scientists and machine learning engineers to support AI and generative AI initiatives. MLOps Support: Implement and monitor machine learning models in production. Automation: Streamline workflows for data ingestion and feature engineering. Collaboration: Work with cross-functional teams to meet diverse data needs. Data Governance: Maintain data quality, compliance, and security. Troubleshooting: Ensure high availability and reliability of data systems. Required Skills and Qualifications Education: Bachelors in Computer Science, Data Engineering, or a related field (Masters preferred). Experience: 3 years in data engineering, focusing on AWS ecosystems. Proficiency in building ETL/ELT pipelines with tools like Airbyte. Expertise in MLOps frameworks and production-ready machine learning pipelines. Strong Python programming skills (Java or Scala experience is a plus). Proficiency in SQL and relational databases like PostgreSQL, MySQL, or MS SQL. Experience with distributed data processing (e.g., Apache Spark, Kafka). Technical Expertise: Deep knowledge of AWS services (S3, Redshift, Glue, Lambda, Athena, etc.). Experience with modern data stack tools (e.g., DBT, Airflow). Familiarity with data workflows for AI/ML, including generative AI models. Soft Skills: Strong problem-solving skills for complex data challenges. Excellent communication skills for collaboration with diverse teams. Preferred Qualifications Experience with NoSQL databases (e.g., DynamoDB, MongoDB). Familiarity with containerization (Docker) and orchestration (Kubernetes). Understanding of LLMs, transformer architectures, and generative AI. Knowledge of BI tools like Tableau or Power BI. Experience with infrastructure-as-code tools like Terraform.

Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-01-29 in the It Computing Software category

Click Go Apply to apply online!


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Senior Data Engineer

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Posted in Jobs in Gauteng, Jobs in Johannesburg

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Johannesburg: Data Engineer

Data Engineer

Posted on 2025-01-23

Location

Job Summary

Required Qualifications: Education: Bachelors degree in Computer Science, Software Engineering, Informatics, or Information Systems. A degree from an accredited institution to ensure a strong foundation in programming, algorithms, and software design. Equivalent qualifications or certifications, combined with significant industry experience, may also be considered. Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, Power BI Data Analyst, MCSA/MCSE SQL Server) are a plus. Work Experience: 3-5 years of professional experience in a Data Engineering role or a related position. Technical Skills: Database Expertise: 3 years of experience working with Microsoft SQL Server, Sybase, or Postgres SQL. Familiarity with NoSQL databases. Strong knowledge of T-SQL and complex query optimization. Programming & Data Processing: Intermediate Python development, with experience using data-related libraries (Pandas, PySpark, Numpy, etc.). Experience with ETL/ELT tools such as SSIS, Data Factory, Synapse, AirFlow, or AWS tools (e.g., Glue, Fire Hose). Cloud Platforms: Experience in setting up data ingestion processes in Azure, AWS, or GCP. Data Visualization: Experience with Power BI, SSRS, Tableau, QlikView, or similar tools. Version Control & CI/CD: Proficient in Git, GitHub, or Bitbucket for version control. Familiarity with CI/CD pipelines and deployment strategies. Advantageous Skills: Knowledge of C# or Java. Understanding of microservices architecture and containerization (e.g., Docker, Kubernetes). Key

Responsibilities:

Maintain and Enhance Existing Systems: Identify and resolve issues in existing software systems. Perform system upgrades and ensure compatibility with new technologies. Design and Develop New Features: Collaborate with stakeholders to gather requirements. Implement new features and functionalities for both front-end and back-end systems. Innovate and Optimize: Explore and integrate new tools and technologies to enhance system performance and scalability. Propose and implement improvements to existing workflows and processes. Collaborate with Team Members: Work closely with developers, QA, and product managers to deliver high-quality solutions. Participate in code reviews and contribute to best practices. Apply now

Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-01-23 in the It Computing Software category

Click Go Apply to apply online!


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Senior Data Engineer

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Johannesburg: Data Engineer

Data Engineer

Posted on 2025-01-21

Location

Job Summary

As a Specialist Recruiter, I am looking for driven and skilled Data Engineers to partner with to secure their next role. As a Data Engineer, you will have the opportunity to work on complex data infrastructure, build scalable data pipelines, and play a pivotal role in helping my clients transform data into actionable insights. Key

Responsibilities:

Design, develop, and maintain scalable data pipelines to process large volumes of structured and unstructured data. Collaborate with Data Scientists, Analysts, and other teams to understand data needs and ensure that data is easily accessible and usable. Optimize data storage and retrieval processes to ensure high performance and efficiency. Build and manage data warehouses and lakes, ensuring data quality, integrity, and security. Implement data integration strategies to bring together data from multiple sources (e.g., internal systems, third-party platforms, cloud services). Work with cloud platforms like AWS, GCP, or Azure to manage data infrastructure. Monitor and troubleshoot data issues, ensuring data pipelines are running smoothly and on schedule. Continuously evaluate and implement best practices for data engineering and stay up-to-date with the latest tools, technologies, and trends in the field. Document data workflows, processes, and systems to ensure clear communication within the team and across the organization.

Requirements:

Proven experience as a Data Engineer or a similar role in the tech industry. Strong proficiency in programming languages such as Python, Java, or Scala. Experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Familiarity with big data technologies like Hadoop, Spark, or Kafka. Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Knowledge of data warehousing solutions and ETL (Extract, Transform, Load) processes. Understanding of data modeling, data governance, and data security best practices. Ability to work in a collaborative, fast-paced environment with cross-functional teams. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. A Degree in Computer Science, Engineering, or a related field is preferred. Desirable Skills: Experience with containerization tools like Docker or Kubernetes. Familiarity with machine learning frameworks and how to integrate them into data workflows. Experience in data visualization tools (e.g., Tableau, Power BI). Knowledge of DevOps practices and CI/CD pipelines. Apply now to join my database

Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-01-21 in the It Computing Software category

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