At a Glance
- Tasks: Lead data projects using Azure technologies and create scalable ETL pipelines.
- Company: HCLTech, a forward-thinking tech company in London.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and excellence.
- Why this job: Shape the future of data solutions while mentoring a talented team.
- Qualifications: Experience with Azure Data Factory, SQL, and strong leadership skills.
The predicted salary is between 72000 - 88000 £ per year.
HCLTech in London seeks a Senior Technical Lead to drive the technical aspects of data projects involving Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL and Python. You will design, develop and maintain scalable data pipelines and ETL processes to deliver high-performance data solutions.
You will collaborate with cross-functional teams to interpret business requirements into technical designs, enforce data quality and security practices, and guide the team with mentoring.
Azure Data Lead - Architect ETL & Pipelines in London employer: HCL Technologies Limited
As a Track Lead in MDM Intune, you will join a forward-thinking organisation that prioritises employee growth and development, offering access to higher education programmes and skills resources. Our collaborative work culture fosters innovation and ensures that your contributions directly enhance the stability and security of our endpoint ecosystem, impacting nearly all users across the enterprise. With generous personal time off and family benefits, we are committed to supporting a balanced and fulfilling work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Lead - Architect ETL & Pipelines in London
✨Get Involved in Data Science Meetups
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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 HCL Technologies Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Azure Data Lead - Architect ETL & Pipelines at HCL Technologies 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 Lead - Architect ETL & Pipelines 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 HCL Technologies 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 HCL Technologies 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 HCL Technologies 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 HCL Technologies 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.