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- Tasks: Design and maintain data pipelines using Snowflake on AWS, ensuring efficient data management.
- Company: Join Insight International, a leading IT services firm focused on innovative data solutions.
- Benefits: Enjoy competitive pay, potential for contract or permanent roles, and a collaborative work environment.
- Why this job: Be part of a dynamic team, work with cutting-edge technology, and make a real impact in data engineering.
- Qualifications: Bachelor's degree in a related field and 5+ years of experience in data engineering required.
- Other info: Position based in Basildon, UK, with a focus on hands-on experience with Snowflake and AWS.
The predicted salary is between 30000 - 52000 £ per year.
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Location : Basildon, UK (Work from Client office 5 days week)
Hiring Type – Contract/Permanent
Responsibilities:
- Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS.
- Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets.
- Collaborate with data analysts, scientists, and other stakeholders to define and fulfil data requirements.
- Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability.
- Develop and maintain data integration solutions, ensuring seamless data flow between various sources and Snowflake.
- Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity.
- Stay up to date with the latest trends and best practices in data engineering and cloud technologies. Cloud Services such as AWS
Qualifications:
- Bachelor’s degree in computer science, Engineering, or a related field.
- 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS.
- Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.)
- Hands on experience with Oracle RDBMS
- Data Migration experience to Snowflake
- Experience with AWS services such as S3, Lambda, Redshift, and Glue.
- Strong understanding of data warehousing concepts and data modeling.
- Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions.
- Understanding/hands on experience in Orchestration solutions such as Airflow
- Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Contract
Job function
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Job function
Information Technology
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Industries
IT Services and IT Consulting
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Snowflake Architect employer: Insight International (UK) Ltd
Contact Detail:
Insight International (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Architect
✨Tip Number 1
Make sure to showcase your hands-on experience with Snowflake and AWS in your conversations. When networking or during interviews, highlight specific projects where you've designed and maintained data pipelines, as this will demonstrate your practical knowledge.
✨Tip Number 2
Stay updated on the latest trends in data engineering and cloud technologies. Engage in relevant online communities or forums where you can discuss these topics, as this will not only enhance your knowledge but also show potential employers your commitment to continuous learning.
✨Tip Number 3
Prepare to discuss your problem-solving skills in detail. Think of specific examples where you've successfully resolved data pipeline issues or optimised performance in previous roles, as this will illustrate your ability to handle challenges effectively.
✨Tip Number 4
Network with professionals in the field, especially those who work with Snowflake and AWS. Attend industry meetups or webinars, and don’t hesitate to reach out on platforms like LinkedIn to connect with current employees at Insight International (UK) Ltd, as referrals can significantly boost your chances.
We think you need these skills to ace Snowflake Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and AWS, as well as your proficiency in SQL, Python, and ETL tools. Use specific examples from your past work to demonstrate your skills in data engineering.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your background aligns with the responsibilities listed in the job description. Mention your experience with data warehousing concepts and any relevant projects you've worked on.
Showcase Relevant Projects: If you have worked on specific projects involving data pipelines or data integration solutions, be sure to include these in your application. Highlight your role, the technologies used, and the outcomes achieved.
Highlight Problem-Solving Skills: Given the emphasis on troubleshooting and resolving data pipeline issues, provide examples of challenges you've faced in previous roles and how you successfully addressed them. This will demonstrate your problem-solving abilities to potential employers.
How to prepare for a job interview at Insight International (UK) Ltd
✨Showcase Your Snowflake Expertise
Make sure to highlight your experience with Snowflake during the interview. Be prepared to discuss specific projects where you've designed and maintained data pipelines, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your AWS Knowledge
Since the role requires proficiency in AWS services, brush up on your knowledge of S3, Lambda, Redshift, and Glue. Be ready to explain how you've used these services in past projects and how they integrate with Snowflake.
✨Prepare for Technical Questions
Expect technical questions related to SQL, Python, and ETL tools. Practice coding problems and be ready to demonstrate your problem-solving skills, especially in relation to data quality and integrity.
✨Communicate Effectively
Strong communication skills are essential for this role. Be prepared to discuss how you've collaborated with data analysts and other stakeholders in the past. Clear communication about technical concepts will show your ability to work well in a team.
