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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, AWS services, and strong programming skills in Python, Scala, and SQL.
- Other info: Eligibility for SC clearance is required.
The predicted salary is between 36000 - 60000 £ per year.
- Location: Ireland, UK 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 AWS / Python employer: Athsai
Contact Detail:
Athsai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer AWS / Python
✨Tip Number 1
Familiarize yourself with the specific AWS services mentioned in the job description, such as API Gateway, Lambda, and Redshift. Having hands-on experience or projects that showcase your skills with these tools will make you stand out during discussions.
✨Tip Number 2
Brush up on your ETL pipeline design and debugging skills. Be prepared to discuss your previous experiences with tools like Apache Kafka, Spark, and Airflow, and how you've successfully implemented data solutions in past roles.
✨Tip Number 3
Highlight your collaborative skills by preparing examples of how you've worked with stakeholders, data architects, and data scientists in the past. This will demonstrate your ability to enhance data quality through teamwork.
✨Tip Number 4
Since SC clearance is required, ensure you understand the process and be ready to discuss your eligibility or existing clearance status. This shows your preparedness and commitment to meeting the role's requirements.
We think you need these skills to ace Data Engineer AWS / Python
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your hands-on experience with big data technologies and ETL tools like Apache Kafka, Spark, and Airflow. Provide specific examples of projects where you successfully implemented these technologies.
Showcase Programming Skills: Clearly outline your programming skills in Python, Scala, and SQL. Mention any relevant projects or contributions that demonstrate your proficiency in these languages.
Detail AWS Knowledge: Include a section in your application that details your comprehensive knowledge of AWS services such as API Gateway, Lambda, Redshift, Glue, and CloudWatch. Explain how you've utilized these services in past projects to optimize data processes.
Collaborative Skills: Since collaboration is key in this role, mention any experiences where you worked alongside stakeholders, data architects, or data scientists. Highlight your ability to enhance data quality through teamwork.
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 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.
✨Familiarize Yourself with AWS Services
Since the role emphasizes cloud-native services on AWS, make sure to review key services such as API Gateway, Lambda, Redshift, Glue, and CloudWatch. Be ready to explain how you've used these services in past projects.
✨Emphasize Collaboration Skills
This position requires working closely with stakeholders, data architects, and data scientists. Prepare to share examples of how you've successfully collaborated in a team environment to enhance data quality.
