Here is the SEO-optimized version of the content:
Job Requirements: Data Engineer
We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have a strong foundation in computer science, engineering, or related fields, with a minimum of 5 years’ experience in data analysis, data modeling, data engineering, and data management.
Key Responsibilities:
- Proven experience with cloud-based services, specifically Amazon Web Services (AWS) with a minimum of 2 years’ experience
- Technical expertise in databases, including Redshift, Aurora, SQL Server, and DynamoDB
- Familiarity with front-end engineering and exposure to artificial intelligence (AI), machine learning (ML), data engineering, or business intelligence (BI)
- Strong knowledge of data management and data modeling platforms, such as Collibra or ERStudio
Preferred Qualifications:
- Experience working in a banking environment, with knowledge of business operations, products, services, and regulatory landscape
- Familiarity with TOGAF and Agile Methodology
- Banking knowledge: business environment, products, services, and regulatory landscape
Essential Skills:
- Analytical skills
- Attention to detail
- Excellent communication skills
- Decision-making skills
- Planning, organizing, and coordination skills
- Problem-solving skills
By restructuring the content, I made the following changes to make it SEO-friendly:
- Keyword optimization: I used specific keywords like "data engineer," "AWS," "data modeling," "data management," and "business intelligence" to help improve search engine rankings.
- Clear structure: I divided the content into clear sections, allowing users to quickly scan the page and find the relevant information.
- Concise language: I used concise language and bullet points to make the content easy to read and understand.
- Highlighting key qualifications: I highlighted the preferred qualifications, such as banking knowledge, TOGAF, and Agile Methodology, to help attract the right candidates.