At a Glance
- Tasks: Own and optimise Databricks pipelines across Azure and AWS for seamless data flow.
- Company: Join Intetics, a forward-thinking company at the forefront of data engineering.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with exciting projects and career advancement potential.
- Why this job: Make a real impact by transforming data processes and collaborating with diverse teams.
- Qualifications: Strong skills in PySpark, SQL, and Python are essential for success.
The predicted salary is between 60000 - 80000 £ per year.
Intetics seeks a data engineering specialist to own production Databricks pipelines across Azure and AWS.
You will monitor data flows, optimize performance, and drive cost efficiencies while ensuring security and governance in a multi-tenant environment.
You will migrate legacy ETL/ELT stacks to Databricks, collaborate with data science, product, and infra teams, and support onboarding of new customers with isolated, reliable data pipelines.
Strong Py Spark/SQL/Python skills required.
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Senior Databricks Data Platform Engineer employer: Intetics
Intetics Inc. is an exceptional employer that fosters a collaborative and innovative work culture, where data engineers are empowered to take ownership of their projects and drive impactful solutions. With a focus on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in a dynamic environment across Azure and AWS. Join us in our global offices, where your contributions will be valued, and you will be part of a team dedicated to delivering high-quality data capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Data Platform Engineer
✨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 Intetics.
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We think you need these skills to ace Senior Databricks Data Platform Engineer
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 Intetics, 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 Intetics. 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 Intetics
✨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 Intetics!
✨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.
