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- Tasks: Design and maintain data pipelines using Snowflake on AWS, ensuring data quality and integrity.
- Company: Join a leading social network based in Basildon, UK, focused on innovative data solutions.
- Benefits: Work in a dynamic office environment with opportunities for professional growth and collaboration.
- Why this job: Be part of a cutting-edge team, shaping the future of data engineering and cloud technologies.
- Qualifications: 10+ years of experience in data engineering, with expertise in Snowflake, AWS, SQL, and Python.
- Other info: This role requires working from the client office five days a week.
The predicted salary is between 43200 - 72000 £ per year.
Location: Basildon, UK (Work from Client office 5 days a week)
Experience: 10+ years
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.
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.
Snowflake Architect employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Architect
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with Snowflake and AWS. Attend local meetups or online webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Showcase your hands-on experience with Snowflake and AWS by working on personal projects or contributing to open-source projects. This practical experience can set you apart from other candidates and demonstrate your skills effectively.
✨Tip Number 3
Stay updated on the latest trends and best practices in data engineering and cloud technologies. Follow industry leaders on social media and subscribe to relevant blogs to keep your knowledge fresh and relevant.
✨Tip Number 4
Prepare for technical interviews by practising common Snowflake and AWS-related questions. Use platforms like LeetCode or HackerRank to sharpen your SQL and Python skills, ensuring you're ready to impress during the interview process.
We think you need these skills to ace Snowflake Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of experience in data engineering, specifically focusing on Snowflake and AWS. Include relevant projects that showcase your skills in designing and maintaining data pipelines and ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that addresses the specific responsibilities mentioned in the job description. Emphasise your experience with data warehousing solutions and your ability to collaborate with stakeholders to meet data requirements.
Showcase Technical Skills: In your application, clearly list your proficiency in SQL, Python, and any ETL tools you have used, such as Streamsets or DBT. Mention your hands-on experience with Oracle RDBMS and data migration to Snowflake.
Highlight Problem-Solving Abilities: Provide examples in your application that demonstrate your problem-solving skills, particularly in monitoring and troubleshooting data pipeline issues. This will show your capability to ensure data quality and integrity.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Snowflake and AWS in detail. Highlight specific projects where you've designed and maintained data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Expect to encounter scenario-based questions that test your problem-solving abilities. Think of examples from your past work where you had to troubleshoot data pipeline issues or optimise performance, and explain your thought process clearly.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your ideas and technical concepts in a way that non-technical stakeholders can understand. This will show your ability to work well with data analysts and scientists.
✨Stay Updated on Industry Trends
Research the latest trends in data engineering and cloud technologies before your interview. Being knowledgeable about current best practices will demonstrate your commitment to continuous learning and your passion for the field.
