Data Engineer - Doha, , Qatar
منذ 21 ساعة
وصف الوظيفة
<\/h3>
Job Summary<\/span>
<\/h3>
The Data Engineer handles the
design, development, and maintenance of data pipelines, ETL processes, and
database management to support AI and data science initiatives. This role
involves ensuring data quality, scalability, and performance across all data
engineering activities.<\/span><\/span>
<\/span>
<\/p>
Responsibilities and Duties<\/span><\/h3>- Design, develop, and maintain data pipelines, ETL processes,
and database systems to support AI and data science initiatives.<\/span>
<\/span><\/span><\/li> - Collaborate with data scientists, AI/ML engineers, and other
stakeholders to understand data requirements and ensure data availability and
quality.<\/span>
<\/span><\/span><\/li> - Implement data governance, security, and regulatory
standards in all data engineering activities.<\/span>
<\/span><\/span><\/li> - Optimize data pipelines and processes for scalability,
performance, and cost -efficiency.<\/span>
<\/span><\/span><\/li> - Monitor and ensure the performance and reliability of data
systems, identifying and resolving issues as needed.<\/span>
<\/span><\/span><\/li> - Stay updated with the latest advancements in data
engineering technologies and best practices.<\/span>
<\/span><\/span><\/li> - Provide support and guidance to other team members as
needed.<\/span>
<\/span><\/span><\/li> - Prepare and present data engineering reports and
documentation to senior management and stakeholders.<\/span>
<\/span><\/span><\/li> - Participate in project planning and contribute to the
development of project timelines and deliverables.<\/span>
<\/span><\/span><\/li> - Perform other duties relevant to the job as assigned by the
Sr. Data Engineer or senior management.<\/span>
<\/span><\/li><\/ul>
<\/div><\/span>
Requirements<\/h3>
<\/div>- Bachelor's degree in Data Engineering, Computer Science, or
a related field<\/span>
<\/span><\/span><\/li> - Relevant certifications (e.g., Google Cloud Professional
Data Engineer, AWS Certified Big Data – Specialty) are preferred<\/span>
<\/span><\/span><\/li> - Minimum of 3 years of experience in data engineering or
related fields<\/span>
<\/span><\/span><\/li> - Experience in designing and implementing data pipelines, ETL
processes, and database systems for AI or technology -focused products<\/span>
<\/span><\/span><\/li> - Strong programming skills in languages such as Python, Java,
or SQL<\/span>
<\/span><\/span><\/li> - Proficiency in data engineering tools and frameworks (e.g.,
Apache Spark, Kafka)<\/span>
<\/span><\/span><\/li> - Excellent problem -solving and analytical skills<\/span>
<\/span><\/span><\/li> - Strong communication and interpersonal skills<\/span>
<\/span><\/span><\/li> - Attention to detail and commitment to quality<\/span>
<\/span><\/span><\/li> - In -depth understanding of data engineering principles, ETL
processes, and database management<\/span>
<\/span><\/span><\/li> - Familiarity with cloud platforms (e.g., AWS, Azure, Google
Cloud) and their data services<\/span>
<\/span><\/span><\/li> - Knowledge of data governance, security, and regulatory
standards<\/span>
<\/span><\/span><\/li> - Ability to manage multiple tasks and prioritize effectively<\/span>
<\/span><\/span><\/li> - Strong attention to detail and commitment to delivering
high -quality work<\/span>
<\/span><\/span><\/li> - Ability to work independently and as part of a team<\/span>
<\/span><\/span><\/li> - Programming languages (e.g., Python, Java, SQL)<\/span>
<\/span><\/span><\/li> - Data engineering tools and frameworks (e.g., Apache Spark,
Kafka)<\/span>
<\/span><\/span><\/li> - Cloud platforms (e.g., AWS, Azure, Google Cloud)<\/span>
<\/span><\/span><\/li> - Data management systems (e.g., SQL, NoSQL databases)<\/span>
<\/span><\/span><\/li> - Collaboration and communication tools (e.g., Slack,
Microsoft Teams)<\/span>
<\/span><\/li><\/ul>
<\/div><\/span>
and database systems to support AI and data science initiatives.<\/span>
<\/span><\/span><\/li>
stakeholders to understand data requirements and ensure data availability and
quality.<\/span>
<\/span><\/span><\/li>
standards in all data engineering activities.<\/span>
<\/span><\/span><\/li>
performance, and cost -efficiency.<\/span>
<\/span><\/span><\/li>
systems, identifying and resolving issues as needed.<\/span>
<\/span><\/span><\/li>
engineering technologies and best practices.<\/span>
<\/span><\/span><\/li>
needed.<\/span>
<\/span><\/span><\/li>
documentation to senior management and stakeholders.<\/span>
<\/span><\/span><\/li>
development of project timelines and deliverables.<\/span>
<\/span><\/span><\/li>
Sr. Data Engineer or senior management.<\/span>
<\/span><\/li><\/ul>
<\/div><\/span>
Requirements<\/h3>
<\/div>- Bachelor's degree in Data Engineering, Computer Science, or
a related field<\/span>
<\/span><\/span><\/li> - Relevant certifications (e.g., Google Cloud Professional
Data Engineer, AWS Certified Big Data – Specialty) are preferred<\/span>
<\/span><\/span><\/li> - Minimum of 3 years of experience in data engineering or
related fields<\/span>
<\/span><\/span><\/li> - Experience in designing and implementing data pipelines, ETL
processes, and database systems for AI or technology -focused products<\/span>
<\/span><\/span><\/li> - Strong programming skills in languages such as Python, Java,
or SQL<\/span>
<\/span><\/span><\/li> - Proficiency in data engineering tools and frameworks (e.g.,
Apache Spark, Kafka)<\/span>
<\/span><\/span><\/li> - Excellent problem -solving and analytical skills<\/span>
<\/span><\/span><\/li> - Strong communication and interpersonal skills<\/span>
<\/span><\/span><\/li> - Attention to detail and commitment to quality<\/span>
<\/span><\/span><\/li> - In -depth understanding of data engineering principles, ETL
processes, and database management<\/span>
<\/span><\/span><\/li> - Familiarity with cloud platforms (e.g., AWS, Azure, Google
Cloud) and their data services<\/span>
<\/span><\/span><\/li> - Knowledge of data governance, security, and regulatory
standards<\/span>
<\/span><\/span><\/li> - Ability to manage multiple tasks and prioritize effectively<\/span>
<\/span><\/span><\/li> - Strong attention to detail and commitment to delivering
high -quality work<\/span>
<\/span><\/span><\/li> - Ability to work independently and as part of a team<\/span>
<\/span><\/span><\/li> - Programming languages (e.g., Python, Java, SQL)<\/span>
<\/span><\/span><\/li> - Data engineering tools and frameworks (e.g., Apache Spark,
Kafka)<\/span>
<\/span><\/span><\/li> - Cloud platforms (e.g., AWS, Azure, Google Cloud)<\/span>
<\/span><\/span><\/li> - Data management systems (e.g., SQL, NoSQL databases)<\/span>
<\/span><\/span><\/li> - Collaboration and communication tools (e.g., Slack,
Microsoft Teams)<\/span>
<\/span><\/li><\/ul>
<\/div><\/span>
a related field<\/span>
<\/span><\/span><\/li>
Data Engineer, AWS Certified Big Data – Specialty) are preferred<\/span>
<\/span><\/span><\/li>
related fields<\/span>
<\/span><\/span><\/li>
processes, and database systems for AI or technology -focused products<\/span>
<\/span><\/span><\/li>
or SQL<\/span>
<\/span><\/span><\/li>
Apache Spark, Kafka)<\/span>
<\/span><\/span><\/li>
<\/span><\/span><\/li>
<\/span><\/span><\/li>
<\/span><\/span><\/li>
processes, and database management<\/span>
<\/span><\/span><\/li>
Cloud) and their data services<\/span>
<\/span><\/span><\/li>
standards<\/span>
<\/span><\/span><\/li>
<\/span><\/span><\/li>
high -quality work<\/span>
<\/span><\/span><\/li>
<\/span><\/span><\/li>
<\/span><\/span><\/li>
Kafka)<\/span>
<\/span><\/span><\/li>
<\/span><\/span><\/li>
<\/span><\/span><\/li>
Microsoft Teams)<\/span>
<\/span><\/li><\/ul>
<\/div><\/span>
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