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- Tasks: Design and maintain data pipelines using Snowflake on AWS, ensuring efficient data storage and retrieval.
- 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, working on cutting-edge data engineering projects that make an impact.
- Qualifications: Must have 5+ years 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 57600 - 84000 £ per year.
Snowflake Architect with Azure (Permanent Role) in 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 (Basildon) employer: Coforge
Contact Detail:
Coforge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Architect (Basildon)
✨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 the latest trends in data warehousing.
✨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 be a great conversation starter during interviews and demonstrates your commitment to staying current in the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on SQL, Python, and ETL tools like Streamsets and DBT. Practising coding challenges and data pipeline scenarios can help you feel more confident and ready to tackle any technical questions that may arise.
✨Tip Number 4
Familiarise yourself with orchestration solutions such as Airflow, as well as key non-functional requirements like availability and scalability. Being able to discuss these topics intelligently will show your depth of knowledge and understanding of the role's demands.
We think you need these skills to ace Snowflake Architect (Basildon)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, AWS, and data engineering. Use specific examples of projects you've worked on that demonstrate your skills in designing data pipelines and ETL processes.
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 of the Snowflake Architect role. Mention your proficiency in SQL, Python, and any relevant tools like Streamsets or DBT.
Showcase Relevant Experience: When detailing your work history, focus on your 5+ years of experience in data engineering. Highlight specific achievements related to data warehousing solutions, performance optimisation, and data integration that are relevant to the job description.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or workshops you've attended related to cloud technologies and data engineering. This shows your commitment to staying updated with industry trends and best practices.
How to prepare for a job interview at Coforge
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake and AWS in detail. Highlight specific projects where you've designed and developed data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially related to data quality and integrity. Prepare examples of how you've monitored and resolved data pipeline issues in the past, showcasing your analytical thinking.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Be ready to explain complex technical concepts in a way that non-technical stakeholders can understand, demonstrating your communication prowess.
✨Stay Updated on Industry Trends
Research the latest trends in data engineering and cloud technologies. Being knowledgeable about current best practices will not only impress your interviewers but also show your commitment to continuous learning in the field.
