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For Companies At a Glance
- Tasks: Design and implement ETL pipelines while collaborating with data teams.
- Company: Join a forward-thinking company focused on big data solutions.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- Why this job: Make a real impact on data quality and architecture in exciting projects.
- Qualifications: Experience with AWS, Python, Spark, and ETL tools is essential.
- Other info: SC clearance eligibility is required for this role.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Engineer
- Location: UK remote
Start Date: asap
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.
Senior Data Engineer AWS Python ETL SPARK employer: Athsai
Contact Detail:
Athsai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer AWS Python ETL SPARK
✨Tip Number 1
Make sure to showcase your hands-on experience with big data technologies during networking events or meetups. Engaging with professionals in the field can help you learn about potential job openings and get insider tips on what we value at StudySmarter.
✨Tip Number 2
Familiarize yourself with our tech stack, especially AWS services like Lambda and Glue. Being able to discuss how you've used these tools in past projects will demonstrate your fit for the role and show us that you're proactive in understanding our needs.
✨Tip Number 3
Join online forums or communities focused on ETL processes and big data. Engaging in discussions can not only enhance your knowledge but also connect you with others who might have insights into opportunities at StudySmarter.
✨Tip Number 4
If you have experience with SC clearance, be sure to highlight this in conversations. It’s a requirement for the role, and demonstrating your eligibility can set you apart from other candidates.
We think you need these skills to ace Senior Data Engineer AWS Python ETL SPARK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with big data technologies, especially focusing on ETL tools like Apache Kafka, Spark, and Airflow. Include specific projects where you implemented data pipelines using AWS services.
Craft a Strong Cover Letter: In your cover letter, emphasize your collaborative skills and how you've worked with stakeholders, data architects, and data scientists in the past. Mention your programming expertise in Python, Scala, and SQL, and how it can benefit the team.
Showcase Relevant Projects: Include examples of previous projects that demonstrate your ability to design and debug ETL pipelines. Highlight any experience you have with AWS services like API Gateway, Lambda, Redshift, Glue, and CloudWatch.
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 will show that 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 Cloud Knowledge
Highlight your experience with AWS services such as API Gateway, Lambda, Redshift, Glue, and CloudWatch. Discuss how you've utilized these services to optimize data processes and improve data quality.
✨Collaborative Mindset
Emphasize your collaborative skills by sharing experiences where you worked alongside stakeholders, data architects, and data scientists. Show how you contributed to enhancing data quality and achieving project goals.
✨Prepare for Technical Questions
Expect technical questions related to Python, Scala, and SQL. Brush up on your programming skills and be ready to solve coding challenges or explain your thought process during the interview.
