At a Glance
- Tasks: Architect and implement scalable data solutions while collaborating with cross-functional teams.
- Company: Join a dynamic team in a growing industry, working remotely from anywhere.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of an innovative culture that values collaboration and creativity.
- Why this job: Make a significant impact in data engineering and stay ahead of industry trends.
- Qualifications: 7+ years of experience in data engineering and strong SQL skills required.
The predicted salary is between 59400 - 72600 £ per year.
Full-Time
Are you an experienced Data Engineer looking for an exciting opportunity to make an impact?
We are seeking a talented individual to join our team and help architect and implement scalable data solutions.
Location
Remote
Experience
7+ years
Employment Type
Full-time/Contract
Key Responsibilities
- Architect, design, and implement robust and scalable data pipelines.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data integrity, quality, and security throughout the data lifecycle.
- Optimize and tune existing data systems for enhanced performance.
- Gather visualization requirements from stakeholders and create effective solutions.
- Utilize DAX functions for complex data calculations and transformations.
- Extract, transform, and load (ETL) data from various sources into Power BI.
- Implement best practices in data modeling for accuracy and reliability.
- Create visually appealing and easy-to-understand data visualizations.
- Stay updated on industry trends in data visualization to continuously improve capabilities.
Qualifications
- 7+ years of experience as a Data Engineer or in a similar role.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience in data engineering, ETL processes, and data warehousing.
- Strong proficiency in SQL and programming languages like Python or Java.
- Expertise in building and maintaining data lakes.
- Preferred Skills
- Familiarity with Azure cloud platform.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.
Why Join Us?
• Work remotely from anywhere!
- Collaborate with a dynamic and innovative team.
- Make a significant impact in a growing industry.
- #J-18808-Ljbffr
Azure Data Engineer in London employer: Keka Technologies Private Limited
Join our innovative team as an Azure Data Engineer and enjoy the flexibility of remote work while making a significant impact in the data engineering field. We foster a collaborative work culture that values creativity and problem-solving, providing ample opportunities for professional growth and development. With a focus on cutting-edge technology and industry trends, you'll be empowered to architect scalable data solutions in a supportive environment that prioritises your success.
Contact Details:
Keka Technologies Private Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in London
✨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 Keka Technologies Private Limited!
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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 Keka Technologies Private Limited.
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When you find a suitable opening like Azure Data Engineer at Keka Technologies Private Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Azure Data Engineer in London
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 Keka Technologies Private Limited, 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 Keka Technologies Private Limited. 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 Keka Technologies Private Limited
✨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 Keka Technologies Private Limited!
✨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.
