At a Glance
- Tasks: Design and manage data pipelines using AWS and advanced data management tools.
- Company: Join a forward-thinking analytics team that values innovation and collaboration.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in the tech industry.
- Why this job: Make an impact by transforming data into actionable insights with cutting-edge technology.
- Qualifications: Experience in Python, SQL, and data management; strong problem-solving skills required.
The predicted salary is between 50000 - 70000 £ per year.
Contract: 6 Months
Location: Remote, UK
Skills:
- Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies.
- Advanced programming skills in Java, Python, R, C++, C#, etc.
- Knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.).
- Experience with data visualization tool is a plus.
- Exposure to online, mobile, and social data is a plus.
- Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions.
- Ability to independently own and drive model development, balancing demands and deadlines.
- Strong people skills, team-orientation, and a professional attitude.
Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
Must Have:
- Enterprise Knowledge Data Management
- Data pipeline
- Python
- SQL
- AWS
- Centralising data stored in RDBMS
- Data Ingestion
- Uploading data into the database.
Education:
Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus.
Remote AWS Data Engineer in Armagh employer: eTeam, Inc.
As a Remote AWS Data Engineer with us, you'll join a forward-thinking team that values innovation and collaboration, all while enjoying the flexibility of remote work in the UK. We offer competitive benefits, a supportive work culture that fosters professional growth, and opportunities to engage with cutting-edge data technologies. Our commitment to employee development ensures that you can enhance your skills and advance your career in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AWS Data Engineer in Armagh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Python, and data visualisation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering. We recommend practising coding challenges and discussing your thought process out loud to demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote AWS Data Engineer in Armagh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data management tools like SQL, MongoDB, and Hadoop. We want to see how your skills match the job description, so don’t be shy about showcasing your programming prowess in languages like Python and Java!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Remember, we love intellectual curiosity and problem-solving skills, so share examples that demonstrate these traits.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them! Highlight your experience with data pipelines, model development, and any data visualisation tools you’ve used. This gives us a clearer picture of what you can bring to the table.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at eTeam, Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data management tools like SQL, MongoDB, and Hadoop. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your Programming Skills
Prepare to demonstrate your programming prowess in languages like Python, Java, or R. You might be asked to solve a coding problem on the spot, so practice common algorithms and data structures beforehand to feel confident.
✨Be Ready for Problem-Solving Questions
Expect questions that test your analytical thinking and problem-solving abilities. Think about past experiences where you identified root causes and implemented solutions, and be prepared to walk the interviewer through your thought process.
✨Highlight Your Teamwork and Communication Skills
Since this role requires strong people skills, be ready to share examples of how you've collaborated with others in a team setting. Emphasise your ability to communicate complex ideas clearly, especially when discussing technical topics with non-technical stakeholders.
