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- Tasks: As an AWS Data Engineer, you'll manage data pipelines and develop models using advanced programming skills.
- Company: Join a forward-thinking company that leverages cutting-edge analytics to drive client success.
- Benefits: Enjoy remote work flexibility and the chance to work with innovative technologies.
- Why this job: This role offers hands-on experience with big data and a collaborative team environment.
- Qualifications: A degree in a quantitative field and expertise in Python, SQL, and data management tools are essential.
- Other info: Ideal for tech-savvy individuals eager to tackle real-world data challenges.
The predicted salary is between 36000 - 60000 £ per year.
Job DescriptionPosition: AWS Data EngineerLocation: (Hybrid) London, UKJob Type: ContractJob descriptionExperience with AWS, Python & Azure Databricks is mandatory.Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance. Collaborate with cross-functional teams to integrate and manage data workflows. Skill set- Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics Ensure data security, compliance, and best practices in cloud data engineering…
AWS Data Engineer employer: Click To Hired
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data management tools mentioned in the job description, such as SQL, MongoDB, and Hadoop. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Brush up on your programming skills in Python and Java, as these are crucial for the role. You could take online courses or complete coding challenges to demonstrate your proficiency and keep your skills sharp.
✨Tip Number 3
Develop a solid understanding of statistical and data mining techniques. You might want to create a portfolio of projects where you apply these techniques to real-world datasets, which can help you stand out during interviews.
✨Tip Number 4
Network with professionals in the field of data engineering, especially those who work with AWS. Attend relevant webinars, join online forums, or connect with people on LinkedIn to gain insights and potentially get referrals for the position.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data management tools like SQL, MongoDB, and Hadoop. Emphasise your programming skills in languages such as Python and Java, and include any relevant projects that showcase your expertise in statistical techniques.
Craft a Strong Cover Letter: In your cover letter, express your intellectual curiosity and problem-solving abilities. Mention specific examples of how you've independently driven model development and balanced demands in previous roles. This will demonstrate your fit for the position.
Showcase Relevant Projects: If you have worked on projects involving data ingestion, centralising data in RDBMS, or using data visualisation tools, be sure to include these in your application. Highlighting practical experience can set you apart from other candidates.
Prepare for Technical Questions: Anticipate technical questions related to data mining techniques and big data technologies during the interview process. Brush up on your knowledge of regression, decision trees, and clustering to confidently discuss your expertise.
How to prepare for a job interview at Click To Hired
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data management tools like SQL, MongoDB, and Hadoop. Highlight specific projects where you used these technologies, and be ready to answer technical questions that demonstrate your advanced programming skills in languages such as Python or Java.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your problem-solving skills. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing how you've tackled complex data issues in the past and the impact of your solutions.
✨Express Your Intellectual Curiosity
Employers value candidates who are eager to learn and explore new technologies. Share examples of how you've pursued knowledge outside of your formal education, whether through online courses, personal projects, or staying updated with industry trends.
✨Highlight Teamwork and Communication Skills
As a Data Engineer, you'll often collaborate with other teams. Be ready to discuss your experiences working in teams, how you handle conflicts, and your approach to communicating complex data concepts to non-technical stakeholders.
