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- Tasks: Design and maintain data solutions while optimising performance and ensuring data reliability.
- Company: Join Bright Vision Technologies, a fast-growing company focused on innovative data solutions.
- Benefits: Enjoy a full-time role with opportunities for growth in a dynamic team environment.
- Why this job: Be part of cutting-edge projects that harness the power of big data and analytics.
- Qualifications: 8+ years of data engineering experience with strong programming and big data skills required.
- Other info: We value diversity and encourage applications from all qualified individuals.
The predicted salary is between 48000 - 72000 £ per year.
Bright Vision Technologies has an immediate Full-time opportunity for a Senior Data Engineer to join our team in the USA.
About Bright Vision Technologies: Bright Vision Technologies is a fast-growing technology company specializing in innovative data solutions. We are dedicated to developing cutting-edge applications and platforms that harness the power of big data. We are seeking a skilled Data Engineer to join our dynamic team and contribute to the success of our data-driven projects.
As a Senior Data Engineer at Bright Vision Technologies, you will be responsible for designing, developing, and maintaining data-based solutions. You will collaborate with cross-functional teams to implement data processing and analytics pipelines, optimize performance, and ensure data reliability and security.
Responsibilities:
- Build and optimize data pipelines using Spark, Hadoop, and Kafka.
- Collaborate with data scientists to ensure seamless integration with data analytics platforms.
- Design and implement data quality checks using Spark's data quality features.
- Develop and maintain data transformation scripts using Spark's data transformation features.
- Troubleshoot and resolve complex technical issues related to big data and analytics.
Requirements:
- A strong background in data engineering with a minimum of 8+ years of experience.
- Excellent programming and big data skills.
- Good communication skills and the ability to work collaboratively with our clients and team members.
If you are interested in this opportunity, please send your resume directly to us. At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.
Senior Data Engineer employer: Bright Vision Technologies
Contact Detail:
Bright Vision Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Spark, Hadoop, and Kafka. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of Bright Vision Technologies on platforms like LinkedIn. Engaging with them can provide insights into the company culture and may even lead to a referral, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems and scenarios. Focus on optimising data pipelines and troubleshooting complex issues, as these are key responsibilities for the role.
✨Tip Number 4
Showcase your collaborative skills during interviews by discussing past experiences where you worked with cross-functional teams. Highlight how you contributed to successful data-driven projects, as teamwork is essential for this position.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Senior Data Engineer position. Understand the key responsibilities and required skills, such as experience with Spark, Hadoop, and Kafka.
Tailor Your CV: Customise your CV to highlight relevant experience in data engineering, particularly focusing on your 8+ years of experience and any specific projects that demonstrate your skills in building data pipelines and collaborating with data scientists.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for Bright Vision Technologies and their innovative approach to data solutions. Mention how your background aligns with their mission.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Bright Vision Technologies
✨Showcase Your Technical Skills
As a Senior Data Engineer, you'll need to demonstrate your expertise in big data technologies like Spark, Hadoop, and Kafka. Be prepared to discuss specific projects where you've successfully built and optimised data pipelines, and consider bringing examples of your work to the interview.
✨Emphasise Collaboration
Bright Vision Technologies values teamwork, so highlight your experience working with cross-functional teams. Share examples of how you've collaborated with data scientists or other stakeholders to ensure seamless integration of data solutions.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on troubleshooting complex issues related to big data and analytics, and be ready to explain your thought process when resolving these problems.
✨Communicate Clearly
Good communication skills are essential for this role. Practice explaining technical concepts in a way that is easy to understand, as you may need to convey your ideas to non-technical team members or clients.
