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For Companies At a Glance
- Tasks: Design and build scalable cloud data platforms using AWS and Databricks.
- Company: Join a leading healthcare analytics company driving digital transformation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by delivering reliable data solutions.
- Qualifications: 8+ years in data engineering with strong AWS and programming skills.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
The Cloud Data Engineer is responsible for designing, building, and maintaining scalable, secure, and governed cloud-based data platforms. The role involves working with AWS, Databricks, and Informatica IDMC to support data ingestion, transformation, analytics, and reporting while ensuring data quality, security, and compliance. The candidate will collaborate with cross-functional teams to deliver reliable data solutions that support healthcare analytics and digital transformation initiatives.
Key Responsibilities
- Design and implement cloud-based data storage solutions including data lakes, data warehouses, and databases using AWS services such as Amazon S3, RDS, Redshift, and DynamoDB, and Databricks Delta Lake.
- Develop, manage, and optimize data pipelines using AWS Glue, AWS Lambda, AWS Step Functions, Databricks, and Informatica IDMC.
- Integrate data from multiple internal and external sources while ensuring data quality, governance, and compliance.
- Build and maintain ETL/ELT processes using Databricks (Spark) and Informatica IDMC.
- Monitor and optimize data workflows and query performance to meet scalability and performance requirements.
- Implement data security controls, encryption, and compliance with data protection regulations.
- Automate data ingestion, transformation, and monitoring processes.
- Maintain documentation for data architecture, pipelines, and configurations.
- Collaborate with data scientists, analysts, and software engineers to deliver data solutions.
- Troubleshoot and resolve data-related issues to ensure data availability and integrity.
- Optimize cloud resource usage to control operational costs.
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- Minimum 8 years of relevant experience in data engineering.
- Hands-on experience with AWS services, Databricks, and/or Informatica IDMC.
- Proficiency in Python, Java, or Scala.
- Strong knowledge of SQL and NoSQL databases.
- Experience with data modeling, schema design, and complex data transformations.
- Strong analytical, problem-solving, and communication skills.
Preferred Skills
- Experience with PySpark on Databricks.
- Knowledge of data governance and data cataloging tools, especially Informatica IDMC.
- Familiarity with Tableau or other data visualization tools.
- Experience with Docker and Kubernetes.
- Understanding of DevOps and CI/CD pipelines.
- Experience using Git or other version control systems.
Cloud Data Engineer in Penarth employer: ELLIOTT MOSS CONSULTING PTE. LTD.
Contact Detail:
ELLIOTT MOSS CONSULTING PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer in Penarth
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even online forums related to cloud data engineering. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving AWS, Databricks, or Informatica IDMC. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL, Python, and cloud services knowledge. Practice common interview questions and be ready to discuss your past experiences and how they relate to the role.
✨Apply Through Our Website
Don’t forget to check out our website for open positions! Applying directly through us can give you an edge, as we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Cloud Data Engineer in Penarth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Databricks, and Informatica IDMC. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 you can contribute to our cloud-based solutions. Let us know what excites you about working at StudySmarter!
Showcase Your Technical Skills: Be specific about your technical expertise in Python, SQL, and any other relevant tools. We love seeing hands-on experience, so mention any projects where you’ve built data pipelines or worked with cloud services.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ELLIOTT MOSS CONSULTING PTE. LTD.
✨Know Your Tech Stack
Make sure you’re well-versed in AWS services, Databricks, and Informatica IDMC. Brush up on your knowledge of data lakes, warehouses, and ETL processes. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you had to optimise data workflows or troubleshoot issues. This will demonstrate your analytical skills and ability to think on your feet.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with data scientists, analysts, and software engineers. Highlight any successful projects where teamwork played a crucial role in delivering data solutions.
✨Understand Data Governance
Familiarise yourself with data governance principles and compliance regulations. Be prepared to discuss how you’ve ensured data quality and security in previous roles. This shows that you take data integrity seriously, which is vital for the position.
