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Johannesburg: Data Engineer




Date 2024-07-08
Job Title Data Engineer
Employer
More Information
Salary
Category It Computing Software
Location Gauteng
/ Johannesburg

Job Summary

Duties and Responsibilities Collaborate with Business and the Markets Data Analyst to understand the requirements and BI solution which meet the business needs. Collaborate within the team to determine the tasks required to deliver the Analytics solution. Contribute and add value to architecture forums and solutions design Further breakdown tasks into smaller components in order to meet deadline. Provide continuous feedback and input to other stakeholders. Apply SDLC on an ongoing basis. Qualifications and Experience Bachelors degree in Computer Science, Mathematics, Engineering or related discipline is required Markets BI environment modules: T-SQL, SSIS, SSAS and SSRS, PowerBI; Informatica or Ab-initio exposure would be advantageous Markets Data Analytics project lifecycle The Capital Markets Business environment At least 5 years of experience in designing and building data warehouses, BI systems and complex data eco systems Engaging with business to understand requirements

Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2024-07-08 in the It Computing Software category

Click Go Apply to apply online!


You might also like to look at the available jobs in the same area.

Apply directly for this position
Some posts have contact information included with other instructions. All applicants are urged to read the instructions carefully.
We will list jobs at the bottom of each job, so feel free to scroll down and continue your search.

We do not accept any job applications and merely offer the service of daily jobs being mined and displayed on our job portal.
Each job post has a link to take you directly to the original post to apply on their website or the original website where the post came from.


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Posted in Jobs in Gauteng, Jobs in Johannesburg

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Johannesburg: Data Engineer




Date 2024-07-05
Job Title Data Engineer
Employer
More Information
Salary Market Annually
Category It Computing Software
Location Gauteng
/ Johannesburg

Job Summary

Job Summary: We are seeking an experienced Data Engineer to join our data team and work closely with the Data Specialist to design, develop and implement efficient data pipelines to support business operations and decision-making. The ideal candidate should have strong technical skills in data management, experience in data integration, and a proven track record of delivering high-quality data solutions. Key

Responsibilities:

Work with the Data Specialist to develop and implement a comprehensive data architecture that supports business objectives Design, develop, and maintain scalable and reliable data pipelines that source and transform data from multiple sources Build and maintain data integration tools and frameworks to automate the data transformation process Develop data quality checks to ensure the accuracy and completeness of data across different systems Collaborate with the data analytics team to identify and prioritize data requirements for reporting and analysis Work with the IT team to ensure that data security, access controls, and compliance requirements are met Research and implement new technologies and techniques to improve the efficiency and effectiveness of the data engineering processes

Requirements:

Bachelor`s degree in Computer Science, Statistics, Mathematics, or a related field; Honours degree preferred. Minimum of 4 years of experience in the technical field, with experience in data integration, transformation, and pipeline development. Strong proficiency in SQL and experience with ETL tools Experience in programming languages such as Python or Ruby Familiarity with cloud-based data platforms such as AWS or Azure Strong understanding of data structures, data modeling, and database design principles Experience in data quality management, data governance, and data security Excellent problem-solving skills and ability to work in a fast-paced environment Strong communication skills and ability to collaborate effectively with both technical and non-technical stakeholders The Data Engineer role is a critical position within our data team, requiring a strong understanding of data engineering principles, excellent technical skills, and the ability to work collaboratively with other team members. If you are a highly motivated and results-oriented individual with a passion for data engineering and analytics, we would love to hear from you. Should you not receive a response from us within one week of your application, your application has unfortunately not been successful.

Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2024-07-05 in the It Computing Software category

Click Go Apply to apply online!


You might also like to look at the available jobs in the same area.

Apply directly for this position
Some posts have contact information included with other instructions. All applicants are urged to read the instructions carefully.
We will list jobs at the bottom of each job, so feel free to scroll down and continue your search.

We do not accept any job applications and merely offer the service of daily jobs being mined and displayed on our job portal.
Each job post has a link to take you directly to the original post to apply on their website or the original website where the post came from.


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Johannesburg: Data Engineer




Date 2024-06-30
Job Title Data Engineer
Employer
More Information
Salary
Category It Computing Software
Location Gauteng
/ Johannesburg

Job Summary

Experience: � Proven experience as a Data Engineer (4 years, can be made up for with accomplishments) � Strong problem-solving skills � Advanced proficiency with SQL � Proficiency with Python � Experience with cloud platforms (e.g. Google Cloud, AWS, Azure) � Experience using version control tools such as git � Excellent written and verbal communication skills � A drive to learn and master new technologies and techniques � A bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field Experience with the following would be an advantage: � Data governance � Building and deploying machine learning models � Terraform or other infrastructure as code tools

Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2024-06-30 in the It Computing Software category

Click Go Apply to apply online!


You might also like to look at the available jobs in the same area.

Apply directly for this position
Some posts have contact information included with other instructions. All applicants are urged to read the instructions carefully.
We will list jobs at the bottom of each job, so feel free to scroll down and continue your search.

We do not accept any job applications and merely offer the service of daily jobs being mined and displayed on our job portal.
Each job post has a link to take you directly to the original post to apply on their website or the original website where the post came from.


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Error making API request.
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Johannesburg: Data Engineer




Date 2024-06-27
Job Title Data Engineer
Employer
More Information
Salary
Category It Computing Software
Location Gauteng
/ Johannesburg

Job Summary

Job Experience & Skills

Requirements:

Matric Degree (BSc/ IT related) Experience building ETL/ ELT processes. Python, Bash/ Shell Scripting SQL/PostgreSQL AWS Infrastructure Big Data and Linux Mac, Jira, and Git. If you possess the skills and experience required for this role, we invite you to apply and become an integral part of an innovative team.

Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2024-06-27 in the It Computing Software category

Click Go Apply to apply online!


You might also like to look at the available jobs in the same area.

Apply directly for this position
Some posts have contact information included with other instructions. All applicants are urged to read the instructions carefully.
We will list jobs at the bottom of each job, so feel free to scroll down and continue your search.

We do not accept any job applications and merely offer the service of daily jobs being mined and displayed on our job portal.
Each job post has a link to take you directly to the original post to apply on their website or the original website where the post came from.


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Johannesburg: Data Engineer




Date 2024-06-27
Job Title Data Engineer
Employer
More Information
Salary
Category It Computing Software
Location Gauteng
/ Johannesburg

Job Summary

Requirements:

Active working experience in building enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative environments Experience in Agile development processes, using Jira, Git, etc. Working experience using multiple software development languages Active working experience in Python, Bash/Shell Scripting, and SQL (PostgreSQL) Knowledge or willingness to learn Snowflake and DBT Knowledge of Dragster, and Superset would 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 BSC Job & Description: Collaborate with multiple teams in order to deliver objectives on time and consistently maintain high quality Ensure that projects are completed efficiently and effectively Work iteratively delivering working software and solutions regularly Sustain and ensure that the company`s data infrastructure is always up-to-date and running efficiently Participation in product and technology strategy discussions in order to provide valuable insights and assist with shaping the direction of the organization Mentor and coach, and share your expertise and knowledge with other members of the team Help to develop and retain top talent for the organization Apply now

Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2024-06-27 in the It Computing Software category

Click Go Apply to apply online!


You might also like to look at the available jobs in the same area.

Apply directly for this position
Some posts have contact information included with other instructions. All applicants are urged to read the instructions carefully.
We will list jobs at the bottom of each job, so feel free to scroll down and continue your search.

We do not accept any job applications and merely offer the service of daily jobs being mined and displayed on our job portal.
Each job post has a link to take you directly to the original post to apply on their website or the original website where the post came from.


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Johannesburg: Data Engineer




Date 2024-06-23
Job Title Data Engineer
Employer
More Information
Salary Monthly
Category It Computing Software
Location Gauteng
/ Johannesburg

Job Summary

Key

Responsibilities:

Design, develop, and maintain robust data pipelines to collect, process, and store data from various sources. Implement and manage data warehouses and data lakes. Optimize data processing systems and ensure data quality and integrity. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Develop and maintain ETL processes to integrate data from multiple sources. Monitor and troubleshoot data systems to ensure optimal performance and reliability. Implement data security and privacy measures in compliance with industry standards and regulations. Document data processes, systems, and standards for internal and external use. Minimum

Requirements:

Bachelor`s degree in Computer Science, Information Technology, or a related field. 5 years of experience as a Data Engineer or in a similar role. Strong proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle). Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Proficiency in programming languages such as Python, Java, or Scala. Experience with data warehousing solutions (e.g., Redshift, Snowflake, BigQuery). Knowledge of ETL tools and processes. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong problem-solving skills and attention to detail. Excellent communication skills and the ability to work collaboratively in a team environment. Skills

Requirements:

Strong analytical and problem-solving abilities. Attention to detail and accuracy in data processing and documentation. Ability to work independently with minimal supervision and collaborate effectively within a team. Ability to prioritize tasks and manage time effectively in a fast-paced environment. Strong sense of ownership and accountability. Excellent communication and interpersonal skills. Experience: 5 years of experience in data engineering or a related field. Proven experience in designing and implementing large-scale data systems and solutions. How to Apply:

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Click Go Apply to apply online!


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Johannesburg: Data Engineer




Date 2024-06-16
Job Title Data Engineer
Employer
More Information
Salary Monthly
Category It Computing Software
Location Gauteng
/ Johannesburg

Job Summary

What you will be doing / What we are looking for: Data Engineer skill is required to enable the data lifecycle within EDS, namely the ability to integrate data between source system (golden/trusted) and the target database (LOB), hence provide good quality data by applying the necessary framework/s and governance to whomever may require it (BI and advanced analytics). Experience, Knowledge and Understanding of: Completed IT / BSc degree or other related fields 5 years experience as a Data Analyst Data warehousing concepts is advantageous. Ab Initio development experience (on-prem and cloud) is essential. Azure Cloud â?? Azure Data Factory is advantageous. Agile working approach essential 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 2024-06-16 in the It Computing Software category

Click Go Apply to apply online!


You might also like to look at the available jobs in the same area.

Apply directly for this position
Some posts have contact information included with other instructions. All applicants are urged to read the instructions carefully.
We will list jobs at the bottom of each job, so feel free to scroll down and continue your search.

We do not accept any job applications and merely offer the service of daily jobs being mined and displayed on our job portal.
Each job post has a link to take you directly to the original post to apply on their website or the original website where the post came from.


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PBT Group is currently offering an opportunity for an AWS Data Engineer with 2 to 5 years of relevant experience. The role of a Data Engineer involves constructing and maintaining data pipelines and datamarts, emphasizing scalability, repeatability, and se


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Cloud Database Engineer (Advanced)

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Johannesburg: Data Engineer




Date 2024-06-12
Job Title Data Engineer
Employer
More Information
Salary Negotiable
Category It Computing Software
Location Gauteng
/ Johannesburg

Job Summary

A leader in the Banking and Financial space is on the lookout for a Data Engineer to join their team. The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in line with the Company’s Data Architecture Roadmap, to advance technical thought leadership for the Enterprise, deliver fit for purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure of the bank to enable advanced analytics, machine learning and artificial intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning, streaming, self service, API and solutions around big data that support the Bank`s strategy to become a data driven organisation. Software Engineers. Essential Qualifications – NQF Level Advanced Diplomas/National 1st Degrees Preferred Qualification Field of Study: BCom, BSc, BEng Preferred Certifications Cloud (Azure, AWS), DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage, Coursera, Udemy, SAS Data Scientist certification, Microsoft Data Scientist. Minimum Experience Level Total number of years of experience:3 – 6 years Type of experience: Experienced at working independently within a squad and has the demonstrated knowledge and skills to deliver data outcomes without supervision. Experience designing, building, and maintaining data warehouses and data lakes. Experience with big data technologies such as Hadoop, Spark, and Hive. Experience with programming languages such as Python, Java, and SQL. Experience with relational databases and NoSQL databases. Experience with cloud computing platforms such as AWS, Azure, and GCP. Experience with data visualization tools. Result-driven, analytical creative thinker, with demonstrated ability for innovative problem solving. Technical / Professional Knowledge Cloud Data Engineering (Azure , AWS, Google) Data Warehousing Databases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB) Programming (Python, Java, SQL) Data Analysis and Data Modelling Data Pipelines and ETL tools (Ab Initio, ADB, ADF, SAS ETL) Agile Delivery Problem solving skills Job Responsibilities Responsible for the maintenance, improvement, cleaning, and manipulation of data in the bank`s operational and analytics databases. Data Infrastructure: Build and manage scalable, optimised, supported, tested, secure, and reliable data infrastructure eg using Infrastructure and Databases (DB2, PostgreSQL, MSSQL, HBase, NoSQL, etc), Data Lakes Storage (Azure Data Lake Gen 2), Cloud-based solutions (SAS , Azure Databricks, Azure Data Factory, HDInsight), Data Platforms (SAS, Ab Initio, Denodo, Netezza, Azure Cloud). Ensure data security and privacy in collaboration with Information Security, CISO and Data Governance Data Pipeline Build (Ingestion, Provisioning, Streaming and API): Build and maintain data pipelines to: create data pipelines for data integration (Data Ingestion, Data Provisioning and Data Streaming) utilising both On Premise tool sets and Cloud Data Engineering tool sets efficiently extract data (Data Acquisition) from Golden Sources, Trusted sources and Writebacks with data integration from multiple sources, formats and structures load the Company’s Data Warehouse (Data Reservoir, Atomic Data Warehouse, Enterprise Data Mart) provide data to the respective Lines of Business Marts, Regulatory Marts and Compliance Marts through self service data virtualisation provide data to applications or Company’s Data consumers transform data to a common data model for reporting and data analysis, and to provide data in a consistent, useable format to Company’s data stakeholders handle big data technologies (Hadoop), streaming (KAFKA) and data Replication (IBM Inphosphere Data Replication) drive utilisation of data integration tools ( Ab Initio) and Cloud data integration tools (Azure Data Factory and Azure Data Bricks) Data Modelling and Schema Build: In collaboration with Data Modellers, create data models and database schemas on the Data Reservoir, Data Lake, Atomic Data Warehouse and Enterprise Data Marts. Company’s Data Warehouse Automation: Automate, monitor and improve the performance of data pipelines. Collaboration: Collaborate with Data Analysts, Software Engineers, Data Modelers, Data Scientistsm Scrum Masers and Data Warehouse teams as part of a squad to contribute to the data architecture detail designs and take ownership of Epics end-to-end and ensure that data solutions deliver business value. Data Quality and Data Governance: Ensure that reasonable data quality checks are implemented in the data pipelines to maintain a high level of data accuracy, consistency and security. Performance and Optimisation: Ensure the performance of the Company’s data warehouse, integration patterns, batch and real time jobs, streaming and API`s. API Development: Build API`s that enable the Data Driven Organisation, ensuring that the data warehouse is optimised for API`s by collaborating with Software Engineers.

  Johannesburg: Petrol & Diesel Mechanic posted by Company People 2

Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2024-06-12 in the It Computing Software category

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Johannesburg: Data Engineer




Date 2024-06-09
Job Title Data Engineer
Employer
More Information
Salary
Category It Computing Software
Location Gauteng
/ Johannesburg

Job Summary

Who are we: An international group of companies within the hospitality industry Who are we looking for: A data Engineer with a high degree of proficiency in SSIS, SQL, SSAS Cubes, DAX, MDX and building stored procedures What will you do: The Data Engineer will be responsible for designing data models, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access. They will be responsible for building and maintaining data pipelines from source systems to the data warehouse and data lake. They will work closely with the data scientist to build machine learning and analytics infrastructure. Collaborate with data scientists to prepare data sets for analytical modelling Contribute to and ensure solutions align to the design and direction of the company technology evolution Ensure adherence to data standards, principles, preferences & practices. Short term deployment must align to strategic long-term delivery. Assess external data management opportunities and threats and develop security, back-up, and recovery specifications. Project manage and document installations and actions taken around the development and amendment to databases and dashboards Define requirements for the Datawarehouse scaling to optimize performance and cost management. Maintains database performance by identifying and resolving production and application development problems Check the conformance of the delivered data warehouse to standards and architectural decisions and resolve design and architectural conflicts by explaining and justifying design and architectural decisions Conduct investigations and analyses into potential technology innovations, and deliver a data architecture to support the future business growth and streamline processes Collaborate with business process owners and management to determine database structural requirements by analysing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems Design solutions and update the data warehouse infrastructure to manage data requirements in the organisation, including the daily monitoring and management of the functionality and optimal performance of various databases Develop algorithms and manage data warehouse processes, visualisation and reporting using application lifecycle management (ALM) tools to ensure predictability and reliability Develop data management reports for various business stakeholders in order for them to complete required analyses and make business decisions Develop standards and processes for database management aligned to legislation, gaming regulation requirements and security protocols – ensuring they are updated and communicated Implement sufficient control measures (including systems and processes) & checks to mitigate any risk to the business Ensure own competence to meet changing technology and database architecture requirements remains relevant, and receive necessary training and updates Conduct testing and audit compliance of new or enhanced products to ensure requirements of key stakeholders (customers, staff and gambling boards) are met. Ensure a complete understanding of information flow and system architecture and how it relates to underlying data structures Review the interfaces tracking dashboards and reports in order to resolve any data issues timeously Liaise with Compliance function to discover data regulatory requirements for inclusion when integrating key data policies and standards Establish appropriate levels of co-ordination, communication and liaison with internal stakeholders to ensure database changes and functionalities in the warehouse remain up to date and relevant What do you need: BSc Degree (in Computer Science, Engineering, Mathematics, Statistics, Information Systems or other technical/quantitative discipline). Post graduate degree is an advantage Microsoft certified: Azure Data Engineer/Azure Solutions Architect Associate or any equivalent cloud certifications Any certification in data modelling, data warehousing, project management will be advantageous. Minimum 5 years of building data pipelines including at least 3 years of experience developing both multidimensional and tabular models with large and complex datasets Experience with data migration and integration Experience building data dictionaries, dimensional data models, architecture diagrams, meta data repositories, data integration processes, ETL processes and data quality Experience with developing enterprise data warehouse solutions, data modelling and development Must be passionate about data and analytics High degree of proficiency in SSIS, SQL, SSAS Cubes, DAX, MDX and building stored procedures Power BI Advanced knowledge and skills in Oracle databases Project management Verbal and written communication skills Knowledge of Agile SDLC methodology Azure Synapse SQL Experience in DevOps an advantage Ability to learn new applications and technologies quickly

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Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2024-06-09 in the It Computing Software category

Click Go Apply to apply online!


You might also like to look at the available jobs in the same area.

Apply directly for this position
Some posts have contact information included with other instructions. All applicants are urged to read the instructions carefully.
We will list jobs at the bottom of each job, so feel free to scroll down and continue your search.

We do not accept any job applications and merely offer the service of daily jobs being mined and displayed on our job portal.
Each job post has a link to take you directly to the original post to apply on their website or the original website where the post came from.


Here are some more related positions


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Error making API request.
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Johannesburg: Data Engineer




Date 2024-06-08
Job Title Data Engineer
Employer
More Information
Salary market related Monthly
Category It Computing Software
Location Gauteng
/ Johannesburg

Job Summary

Job Purpose: The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in line with the company Data Architecture Roadmap, to advance technical thought leadership for the Enterprise, deliver fit for purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure of the company to enable advanced analytics, machine learning and artificial intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning, streaming, self-service, API and solutions around big data that support the company strategy to become a data driven organisation. Job

Responsibilities:

Responsible for the maintenance, improvement, cleaning, and manipulation of data in the companies operational and analytics databases. Data Infrastructure: Build and manage scalable, optimised, supported, tested, secure, and reliable data infrastructure e.g. using Infrastructure and Databases (DB2, PostgreSQL, MSSQL, HBase, NoSQL, etc.), Data Lakes Storage (Azure Data Lake Gen 2), Cloud-based solutions (SAS, Azure Databricks, Azure Data Factory, HDInsight), Data Platforms (SAS, Ab Initio, Denodo, Netezza, Azure Cloud). Ensure data security and privacy in collaboration with Information Security, CISO and Data Governance Data Pipeline Build (Ingestion, Provisioning, Streaming and API): Build and maintain data pipelines to: create data pipelines for data integration (Data Ingestion, Data Provisioning and Data Streaming) utilising both On Premise tool sets and Cloud Data Engineering tool sets efficiently extract data (Data Acquisition) from Golden Sources, Trusted sources and Writebacks with data integration from multiple sources, formats and structures load the companies Data Warehouse (Data Reservoir, Atomic Data Warehouse, Enterprise Data Mart) provide data to the respective Lines of Business Marts, Regulatory Marts and Compliance Marts through self-service data virtualisation provide data to applications or companies Data consumers transform data to a common data model for reporting and data analysis, and to provide data in a consistent, useable format to companies data stakeholders handle big data technologies (Hadoop), streaming (KAFKA) and data Replication (IBM Inphosphere Data Replication) drive utilisation of data integration tools (Ab Initio) and Cloud data integration tools (Azure Data Factory and Azure Data Bricks) Data Modelling and Schema Build: In collaboration with Data Modellers, create data models and database schemas on the Data Reservoir, Data Lake, Atomic Data Warehouse and Enterprise Data Marts. The Companies Data Warehouse Automation: Automate, monitor and improve the performance of data pipelines. Collaboration: Collaborate with Data Analysts, Software Engineers, Data Modelers, Data Scientistsm Scrum Masers and Data Warehouse teams as part of a squad to contribute to the data architecture detail designs and take ownership of Epics end-to-end and ensure that data solutions deliver business value. Data Quality and Data Governance: Ensure that reasonable data quality checks are implemented in the data pipelines to maintain a high level of data accuracy, consistency and security. Performance and Optimisation: Ensure the performance of the companies data warehouse, integration patterns, batch and real time jobs, streaming and API`s. API Development: Build API`s that enable the Data Driven Organisation, ensuring that the data warehouse is optimised for API`s by collaborating with Software Engineers. Essential Qualifications – NQF Level: Advanced Diplomas/National 1st Degrees Preferred Qualification: Field of Study: BCom, BSc, BEng Preferred Certifications: Cloud (Azure, AWS), DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage, Coursera, Udemy, SAS Data Scientist certification, Microsoft Data Scientist. Minimum Experience Level: Total number of years of experience:3 – 6 years Type of experience: Experienced at working independently within a squad and has the demonstrated knowledge and skills to deliver data outcomes without supervision. Experience designing, building, and maintaining data warehouses and data lakes. Experience with big data technologies such as Hadoop, Spark, and Hive. Experience with programming languages such as Python, Java, and SQL. Experience with relational databases and NoSQL databases. Experience with cloud computing platforms such as AWS, Azure, and GCP. Experience with data visualization tools. Result-driven, analytical creative thinker, with demonstrated ability for innovative problem solving. Technical / Professional Knowledge Cloud Data Engineering (Azure, AWS, Google) Data Warehousing Databases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB) Programming (Python, Java, SQL) Data Analysis and Data Modelling Data Pipelines and ETL tools (Ab Initio, ADB, ADF, SAS ETL) Agile Delivery Problem solving skills Behavioral Competencies Decision Making Influencing Communication Innovation Technical/Professional Knowledge and Skills Building Partnerships Continuous Learning

  Pretoria: Rfx: 4916015 Scrum Master posted by Tipp Focus

Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2024-06-08 in the It Computing Software category

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