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- Tasks: Join our team as an AWS Data Engineer, building and maintaining data solutions.
- Company: dmg events is a leading company focused on creating data-driven solutions.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of customer data management.
- Qualifications: 5+ years in AWS Data Engineering with hands-on experience in key tools.
- Other info: Equal opportunity employer; feedback provided within 14 days.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for an experienced AWS Data Engineer to join our team to support the development of the Customer Data Platform (CDP) project. As a Data Engineer, you will work closely with the Lead Engineer, Business Analysts and third-party professional services to lay the groundwork to enable the business to truly become data-driven, creating the one source of truth for our customer data.
Responsibilities:
- Designing, building and maintaining the data lake solution and associated pipelines
- Develop and own the data strategy on coding best practices
- Contribute to the overall architecture by identifying gaps and efficiencies in the design
- Ensuring that data quality is considered at every point of the data journey and working closely with the business to ensure the correct rules and identifiers are in place
- Coaching the junior members of the Data team to be more cloud engineering focused
- Maintaining, testing and implementing disaster recovery procedures.
Skills/Qualifications:
- 5+ years as a Data Engineer within the AWS cloud environment
- Hands-on experience with the following: S3/Redshift, AWS Glue, AWS Lambda, API Gateway, Amazon AppFlow (Desirable)
- Expertise in moving and transforming data using Python, Spark & Scala
- Experience in using REST APIs for data transfer
- Solid understanding of master data management and its integration into the broader infrastructure
- Knowledge and experience with testing, releasing, and CI/CD pipeline deployments into AWS using tools like Bitbucket, Jenkins, ServiceNow
- Understanding of Agile methodologies, processes and procedures
- Demonstrated ability to be a self-starter and take ownership of their work
- Experience in using SalesForce would be considered an advantage
dmg events is an equal opportunity employer. If you have not had feedback from us within 14 days, please consider your application as unsuccessful for this round.
AWS Data Engineer employer: Up Closets of North Cincinnati
Contact Detail:
Up Closets of North Cincinnati Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as S3, Redshift, and AWS Glue. Having hands-on experience or projects that showcase your skills with these tools will make you stand out during discussions.
✨Tip Number 2
Prepare to discuss your experience with data transformation using Python, Spark, and Scala. Be ready to share examples of how you've successfully moved and transformed data in previous roles, as this is a key requirement for the position.
✨Tip Number 3
Brush up on your knowledge of master data management and its integration into broader infrastructures. Being able to articulate your understanding of this concept will demonstrate your capability to contribute effectively to the team.
✨Tip Number 4
Showcase your ability to work in Agile environments by preparing examples of how you've contributed to Agile processes in past projects. This will highlight your adaptability and teamwork skills, which are essential for this role.
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 as a Data Engineer, particularly within the AWS cloud environment. Emphasise your hands-on experience with S3, Redshift, AWS Glue, and other relevant technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the Customer Data Platform project. Mention specific projects or experiences that demonstrate your ability to design and maintain data solutions.
Highlight Relevant Skills: In your application, clearly outline your expertise in moving and transforming data using Python, Spark, and Scala. Also, mention your familiarity with REST APIs and CI/CD pipeline deployments, as these are crucial for the role.
Showcase Leadership Experience: If you have experience coaching junior team members or leading projects, make sure to include this in your application. This will demonstrate your ability to contribute to the team's growth and align with the company's goals.
How to prepare for a job interview at Up Closets of North Cincinnati
✨Showcase Your AWS Expertise
Make sure to highlight your hands-on experience with AWS services like S3, Redshift, and Glue. Be prepared to discuss specific projects where you utilised these tools, as this will demonstrate your practical knowledge and ability to contribute to the Customer Data Platform.
✨Demonstrate Data Quality Awareness
Since ensuring data quality is crucial for this role, be ready to talk about how you've implemented data quality checks in previous projects. Discuss any frameworks or methodologies you've used to maintain high standards throughout the data journey.
✨Prepare for Technical Questions
Expect technical questions related to data transformation using Python, Spark, and Scala. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your technical proficiency and problem-solving abilities.
✨Emphasise Team Collaboration
As you'll be working closely with various teams, it's important to convey your experience in collaborative environments. Share examples of how you've coached junior team members or worked with business analysts to achieve common goals, highlighting your teamwork and leadership skills.
