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- Tasks: Lead the design and development of data pipelines using Databricks.
- Company: Reputable freelance data company with exciting projects.
- Benefits: Short-term contract with immediate start and flexible work options.
- Why this job: Make an impact by integrating data and ensuring quality in a dynamic environment.
- Qualifications: Proven experience in Databricks, Python, and SQL required.
- Other info: Opportunity to work with cloud platforms like AWS, Azure, or GCP.
The predicted salary is between 36000 - 60000 £ per year.
A reputable freelance data company is seeking a DataBricks Specialist for a short-term contract with an immediate start. The ideal candidate will have proven experience in building data pipelines using Databricks, alongside strong programming skills in Python and SQL.
Responsibilities include:
- Leading the design and development of data pipelines
- Integrating data from various sources
- Ensuring data quality and governance through modern DataOps practices
This role offers the opportunity to work with cloud platforms like AWS, Azure, or GCP.
Databricks Data Engineer: Pipelines, DataOps & Cloud employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer: Pipelines, DataOps & Cloud
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. Sometimes, a friendly chat can lead to a hidden gem of a job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects using Databricks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with DataOps practices and how you've ensured data quality in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities that might just be the perfect fit for you. Plus, it’s super easy to navigate and keeps everything in one place.
We think you need these skills to ace Databricks Data Engineer: Pipelines, DataOps & Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and data pipelines. We want to see your programming skills in Python and SQL shine through, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past work with DataOps and cloud platforms like AWS, Azure, or GCP to grab our attention.
Showcase Your Projects: If you've worked on relevant projects, include them in your application. We love seeing real-world applications of your skills, especially when it comes to building data pipelines and ensuring data quality.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your past experiences with building data pipelines and how you've tackled challenges using Databricks. Having specific examples at hand will show that you’re not just familiar with the tool, but that you can leverage it effectively.
✨Show Off Your Programming Skills
Since strong programming skills in Python and SQL are crucial for this role, be prepared to demonstrate your expertise. You might be asked to solve a coding problem or explain your thought process behind a previous project. Practising common coding challenges can help you feel more confident during the interview.
✨Understand DataOps Principles
Familiarise yourself with modern DataOps practices, as they are key to ensuring data quality and governance. Be ready to discuss how you’ve implemented these principles in your previous roles. This will show that you not only understand the technical side but also the importance of collaboration and efficiency in data management.
✨Cloud Platforms Knowledge is Key
Since the role involves working with cloud platforms like AWS, Azure, or GCP, make sure you have a solid understanding of at least one of them. Be prepared to talk about your experience with cloud services and how you’ve used them in conjunction with Databricks to enhance data pipeline performance.
