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- Tasks: Establish data integrations and conduct ETL activities to build a strong data foundation.
- Company: Leading technical consultancy in the UK with a focus on innovation.
- Benefits: Competitive salary, professional development budget, wellness programs, and hybrid working options.
- Why this job: Join a dynamic team and make an impact in the world of data analytics.
- Qualifications: Proficiency in Python, experience with Apache Spark and PySpark, and data analytics background.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 70000 - 80000 £ per year.
A leading technical consultancy in the UK seeks a Data Consultant to develop a robust data foundation. Your responsibilities include establishing data integrations, conducting ETL activities, and collaborating with SMEs to validate data models.
The ideal candidate has proficiency in Python, experience in Apache Spark and PySpark, and a background in data analytics software.
This role offers a competitive salary between £70,000-£80,000, a professional development budget, wellness programs, and hybrid working arrangements.
Data Consultant - PySpark & ETL Specialist (Hybrid) employer: Hexegic
Contact Detail:
Hexegic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Consultant - PySpark & ETL Specialist (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who work with PySpark and ETL. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving Python and Apache Spark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data scenarios. Be ready to discuss how you've tackled ETL challenges or validated data models in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are eager to join our team. Plus, it shows you're genuinely interested in the role.
We think you need these skills to ace Data Consultant - PySpark & ETL Specialist (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Apache Spark, and ETL processes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data consultancy and how your background makes you the perfect fit for our team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially in ETL activities!
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’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Hexegic
✨Know Your Tech Inside Out
Make sure you brush up on your Python, Apache Spark, and PySpark skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand ETL Processes
Since the role involves conducting ETL activities, be prepared to explain your approach to data extraction, transformation, and loading. Have examples ready that showcase your experience in establishing data integrations and how you validated data models with SMEs.
✨Showcase Your Analytical Skills
Data analytics is key for this position, so highlight your experience with data analytics software. Prepare to discuss how you've used data to drive decisions or improve processes in previous roles.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and how they measure success in this role. This shows your genuine interest and helps you assess if it's the right fit for you.