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- Tasks: Design and maintain data pipelines using Snowflake on AWS, ensuring data quality and performance.
- Company: Join a leading tech firm in Basildon, focused on innovative cloud solutions.
- Benefits: Enjoy a permanent role with competitive salary and opportunities for professional growth.
- Why this job: Be part of a dynamic team, shaping the future of data engineering in a collaborative environment.
- Qualifications: 10+ years of experience in data engineering, with expertise in Snowflake and AWS required.
- Other info: Work from the client office five days a week, fostering teamwork and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
Snowflake Architect with Azure (Permanent Role) Basildon, UK (Work from Client office 5 days 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.
Contact Detail:
Coforge 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 industry meetups or 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.
✨Tip Number 3
Stay updated on the latest trends and best practices in data engineering and cloud technologies. Follow relevant blogs, podcasts, and forums to demonstrate your commitment to continuous learning during interviews.
✨Tip Number 4
Prepare for technical interviews by practising common Snowflake and AWS-related questions. Consider mock interviews with peers or mentors to build confidence and improve your problem-solving skills.
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, AWS, and data engineering. Use specific examples that demonstrate your skills in designing data pipelines and ETL processes.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data engineering and how your background aligns with the responsibilities of the Snowflake Architect role. Mention your experience with SQL, Python, and any relevant tools like Streamsets or DBT.
Showcase Relevant Projects: If you have worked on projects involving data warehousing or cloud technologies, be sure to include these in your application. Describe your role and the impact of your contributions on the project's success.
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.
How to prepare for a job interview at Coforge
✨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 questions that assess your problem-solving abilities. Prepare examples of how you've monitored, troubleshot, and resolved data pipeline issues in the past, ensuring data quality and integrity.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Be ready to discuss how you've worked with data analysts and scientists to define and fulfil data requirements, showcasing your communication skills.
✨Stay Updated on Industry Trends
Research the latest trends and best practices in data engineering and cloud technologies. Being knowledgeable about current developments will demonstrate your commitment to continuous learning and your passion for the field.
