Data engineer port elizabeth
Summary
Design and develop data solutions using Azure services like Data Factory and Data Lake, implementing data ingestion and storage pipelines. The role involves writing code in SQL and Python, collaborating with stakeholders, and ensuring data security and quality.
Data Engineer (Remote)
This is a remote position. Our national client is seeking an experienced Data Engineer to join the team: Design and develop data solutions using Azure services, such as Azure Data Factory, Azure Data Lake, and Azure SQL Database. Implement data ingestion, processing, and storage solutions to meet business needs. Collaborate with data scientists and business stakeholders to identify data requirements and design data pipelines. Write efficient and scalable code for data processing and data integration tasks. Implement data security and privacy measures to ensure data protection. Monitor and troubleshoot data processing issues and ensure data accuracy and quality. Requirements
Bachelor’s degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer, with experience in Azure. Strong understanding of data warehousing, data ingestion, and data processing concepts. Proficient in programming languages such as SQL, Python, Java, or C#. Knowledge of SQL and experience with other query languages (e.g., DAX, M). Ability to work with large and complex data sets and perform data analysis and modeling. Experience with other cloud platforms, such as AWS or Google Cloud Platform. Knowledge of big data technologies, such as Apache Hadoop or Apache Spark. Experience with data visualization tools, such as Power BI or Tableau. Ability to write clean, efficient, and well-documented code. Knowledge of Agile development methodologies and Dev Ops practices. Posted By
HR Services, Recruitment & Selection
This is a remote position. Our national client is seeking an experienced Data Engineer to join the team: Design and develop data solutions using Azure services, such as Azure Data Factory, Azure Data Lake, and Azure SQL Database. Implement data ingestion, processing, and storage solutions to meet business needs. Collaborate with data scientists and business stakeholders to identify data requirements and design data pipelines. Write efficient and scalable code for data processing and data integration tasks. Implement data security and privacy measures to ensure data protection. Monitor and troubleshoot data processing issues and ensure data accuracy and quality. Requirements
Bachelor’s degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer, with experience in Azure. Strong understanding of data warehousing, data ingestion, and data processing concepts. Proficient in programming languages such as SQL, Python, Java, or C#. Knowledge of SQL and experience with other query languages (e.g., DAX, M). Ability to work with large and complex data sets and perform data analysis and modeling. Experience with other cloud platforms, such as AWS or Google Cloud Platform. Knowledge of big data technologies, such as Apache Hadoop or Apache Spark. Experience with data visualization tools, such as Power BI or Tableau. Ability to write clean, efficient, and well-documented code. Knowledge of Agile development methodologies and Dev Ops practices. Posted By
HR Services, Recruitment & Selection