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For Companies At a Glance
- Tasks: Design and optimise ETL pipelines using AWS tools for data processing.
- Company: Join a dynamic team in London, working with cutting-edge cloud technologies.
- Benefits: Enjoy hybrid work options and the chance to enhance your tech skills.
- Why this job: Be part of innovative projects that impact real-time data solutions.
- Qualifications: Experience with AWS, Python, and Azure Databricks is essential.
- Other info: This is a contract position, perfect for gaining valuable industry experience.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Position: AWS Data Engineer
Location: (Hybrid) London, UK
Job Type: Contract
Job description
- Experience 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: TAGMATIX360
Contact Detail:
TAGMATIX360 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarise yourself with AWS services, especially Glue, EMR, and Kinesis. Understanding how these tools work together will not only help you in interviews but also demonstrate your proactive approach to mastering the technologies we use.
✨Tip Number 2
Showcase your experience with ETL processes by preparing examples of past projects where you've designed or optimised data pipelines. Be ready to discuss specific challenges you faced and how you overcame them.
✨Tip Number 3
Network with professionals in the data engineering field, particularly those who have experience with AWS. Engaging in relevant online communities or attending meetups can provide insights and potentially lead to referrals.
✨Tip Number 4
Stay updated on the latest trends and best practices in cloud data engineering. Being knowledgeable about data security and compliance will set you apart, as these are crucial aspects of our work at StudySmarter.
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 AWS, Python, and Azure Databricks. Include specific projects where you've designed or optimised ETL pipelines using AWS Glue, Amazon EMR, or Kinesis.
Craft a Strong Cover Letter: In your cover letter, emphasise your ability to collaborate with cross-functional teams and your understanding of data security and compliance in cloud data engineering. Mention any relevant certifications or training.
Showcase Relevant Projects: If you have worked on projects involving Amazon Redshift, S3, or Kinesis Analytics, be sure to include these in your application. Describe your role and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at TAGMATIX360
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services like Glue, EMR, and Kinesis. Be prepared to discuss specific projects where you designed or optimised ETL pipelines, as this will demonstrate your hands-on knowledge.
✨Demonstrate Your Python Skills
Since Python is a key requirement for this role, be ready to talk about how you've used it in data engineering tasks. You might even want to prepare a small coding example or two that showcases your ability to manipulate data effectively.
✨Understand Data Security Practices
Data security is crucial in cloud data engineering. Familiarise yourself with best practices and compliance standards related to AWS. Be prepared to discuss how you've implemented security measures in past projects.
✨Collaborate and Communicate
This role involves working with cross-functional teams, so emphasise your collaboration skills. Share examples of how you've successfully worked with others to integrate data workflows, as this will show your ability to work in a team environment.
