AWS Data Engineer

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    "description": "<p><span style=\"font-weight: bold\"><span style=\"font-size: 15px\">AWS DATA ENGINEER – CONTRACT </span></span></p>\n<p><span style=\"font-weight: bold\">Job Title: AWS Data Engineer</span></p>\n<p><span style=\"font-weight: bold\">Location:</span> [JHB/Hybrid] <span style=\"font-weight: bold\">***MUST BE LOCAL IN SOUTH AFRICA</span></p>\n<p><span style=\"font-weight: bold\">Job Type:</span> [Full-Time /Contract]</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Job Description:</span> We are seeking a skilled AWS Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with specific expertise in AWS technologies. You will be responsible for designing, developing, and maintaining our data infrastructure, ensuring efficient data processing and storage solutions.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Key Responsibilities:</span></p>\n<ul>\n<li>Design, develop, and maintain scalable data pipelines using AWS services.</li>\n<li>Write efficient and maintainable Python and PySpark code for data processing.</li>\n<li>Implement and manage ETL processes using AWS Glue.</li>\n<li>Develop and optimize SQL queries for data extraction and transformation.</li>\n<li>Utilize AWS Athena for querying and analyzing large datasets.</li>\n<li>Work with AWS Redshift for data warehousing solutions.</li>\n<li>Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.</li>\n<li>Ensure data quality and integrity across various data sources.</li>\n<li>Monitor and troubleshoot data pipeline issues to ensure smooth operations.</li>\n<li>Stay updated with the latest industry trends and best practices in data engineering and AWS technologies.</li>\n</ul>\n<p><span style=\"font-weight: bold\">Required Qualifications:</span></p>\n<ul>\n<li>Must be strong in MDM knowledge: <span>Experience with building or integrating MDM systems — e.g., designing golden records, matching/merging, data mastering, data stewardship workflows</span></li>\n<li><span style=\"font-weight: bold\">Python:</span> Proficient in writing Python code for data processing and automation.</li>\n<li><span style=\"font-weight: bold\">Spark:</span> Strong understanding of Apache Spark and experience with PySpark.</li>\n<li><span><span style=\"font-weight: bold\">AWS Data Stack:</span> Glue, S3, Lambda, Redshift, Athena, Step Functions</span></li>\n<li><span style=\"font-weight: bold\">SQL:</span> Advanced skills in SQL, with the ability to write complex queries.</li>\n<li><span style=\"font-weight: bold\">AWS Athena:</span> Experience with AWS Athena for querying large datasets.</li>\n<li><span style=\"font-weight: bold\">Redshift:</span> Familiarity with AWS Redshift, including data warehousing concepts and usage.</li>\n<li><span style=\"font-weight: bold\">Data Warehousing:</span> Solid understanding of data warehousing principles and best practices.</li>\n</ul>\n<p><span style=\"font-weight: bold\">Preferred Qualifications:</span></p>\n<ul>\n<li>Experience with other AWS services such as S3, Lambda, and CloudFormation.</li>\n<li>Knowledge of data modeling and schema design.</li>\n<li>Familiarity with data governance and security best practices.</li>\n<li>Experience with version control systems like Git.</li>\n<li>Strong problem-solving skills and attention to detail.</li>\n<li>Excellent communication and collaboration skills.</li>\n</ul>\n<p><span style=\"font-weight: bold\">Education and Experience:</span></p>\n<ul>\n<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>\n<li>4+ years of experience in data engineering or a related role.<br></li>\n</ul>\n<p><span><br><br><br></span></p>\n<p><br><br></p>",
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