At a Glance
- Tasks: Design and develop data models for AWS Cloud Data Warehouse solutions.
- Company: Leading tech firm specialising in cloud data solutions.
- Benefits: Attractive salary, flexible working options, and continuous learning opportunities.
- Other info: Collaborative environment with a focus on innovation and growth.
- Why this job: Join a dynamic team and shape the future of data analytics.
- Qualifications: 10+ years in data modeling, especially in banking and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
Minimum 10+ years of experience working as Data Modeler for AWS Cloud Data warehouse.
Key Skills required:
- Must have Data Modeling Experience on Data Warehouse & Analytics solution
- ER Studio
- Cloud experience preferred
- Strong Data Modeling Experience in Banking Domain
- Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka
• Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives.
• Understand project requirements and translate them into technical solutions which meet the project quality standards.
• Ability to work in a team in a diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues.
• Strong problem solving and good analytical skills.
• Excellent verbal and written communication skills.
• Experience and desire to work in a global delivery environment.
• Stay up to date with new technologies and industry trends in development.
Data Modeler in Northampton employer: Infosys Europe
As a leading employer in the banking sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a culture that values diverse perspectives. Located in a vibrant city, our team enjoys a flexible work-life balance and access to cutting-edge technologies, making it an ideal place for experienced Data Modelers to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler in Northampton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Infosys Europe!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Modeler at Infosys Europe.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Infosys Europe.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Modeler in Northampton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Infosys Europe, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Infosys Europe. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Infosys Europe
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Infosys Europe!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
