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- Tasks: Design and implement ETL pipelines while collaborating with data teams.
- Company: Join a forward-thinking company focused on enhancing data quality and architecture.
- Benefits: Enjoy remote work flexibility and the chance to work with cutting-edge technologies.
- Why this job: Make a real impact on data initiatives and grow your skills in a supportive environment.
- Qualifications: Experience with big data technologies, ETL tools, and programming in Python, Scala, and SQL required.
- Other info: SC clearance eligibility is necessary for this role.
The predicted salary is between 36000 - 60000 £ per year.
- Location: England remote
- Start Date: January
Job Description:
We are looking for a dedicated professional with substantial hands-on experience in big data technologies to join our team.
In this role, you will have the opportunity to design, implement, and debug effective ETL pipelines, contributing to our overall data architecture.
Your collaborative skills will be key as you work alongside stakeholders, data architects, and data scientists to enhance data quality across our projects.
We value your expertise in ETL tools, including Apache Kafka, Spark, and Airflow, and your strong programming skills in Python, Scala, and SQL will further enrich our capabilities. Additionally, your experience in implementing data pipelines utilizing cloud-native services on AWS will be invaluable.
Your comprehensive knowledge of AWS services such as API Gateway, Lambda, Redshift, Glue, and CloudWatch will enable us to optimize our data processes.
We look forward to your contributions in making meaningful advancements in our Customers data initiatives!
Eligibility for SC clearance or an existing SC clearance is required for this role.
Data Engineer employer: Athsai
Contact Detail:
Athsai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with the specific big data technologies mentioned in the job description, such as Apache Kafka, Spark, and Airflow. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Highlight your collaborative skills by preparing examples of past projects where you worked closely with stakeholders, data architects, or data scientists. This will demonstrate your ability to enhance data quality through teamwork.
✨Tip Number 3
Make sure to showcase your programming skills in Python, Scala, and SQL. Consider discussing specific challenges you've overcome using these languages in your previous roles to illustrate your problem-solving abilities.
✨Tip Number 4
If you have experience with AWS services like API Gateway, Lambda, Redshift, Glue, and CloudWatch, prepare to discuss how you've utilized these in your past work. This knowledge is crucial for optimizing data processes in this role.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with big data technologies and ETL tools like Apache Kafka, Spark, and Airflow. Emphasize your programming skills in Python, Scala, and SQL, as well as your experience with AWS services.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's needs. Mention specific projects where you've designed or implemented ETL pipelines and your collaborative work with stakeholders.
Showcase Relevant Projects: Include examples of relevant projects in your application that demonstrate your ability to enhance data quality and optimize data processes using cloud-native services on AWS. This will help illustrate your practical experience.
Highlight SC Clearance Eligibility: Since eligibility for SC clearance is required, make sure to mention your current status regarding SC clearance in your application. This shows you meet one of the key requirements for the role.
How to prepare for a job interview at Athsai
✨Showcase Your ETL Expertise
Be prepared to discuss your hands-on experience with ETL tools like Apache Kafka, Spark, and Airflow. Share specific examples of how you've designed and implemented effective ETL pipelines in previous roles.
✨Demonstrate Programming Proficiency
Highlight your programming skills in Python, Scala, and SQL during the interview. Consider discussing a project where you utilized these languages to solve a complex data problem, showcasing your technical capabilities.
✨Discuss Cloud Experience
Since experience with AWS services is crucial, be ready to talk about your familiarity with tools like API Gateway, Lambda, Redshift, Glue, and CloudWatch. Provide examples of how you've leveraged these services to optimize data processes.
✨Emphasize Collaboration Skills
As this role involves working closely with stakeholders, data architects, and data scientists, share instances where your collaborative skills made a difference in a project. Highlight your ability to enhance data quality through teamwork.
