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- Tasks: Design and maintain data pipelines using Snowflake on AWS, ensuring data quality and performance.
- Company: Join a dynamic team in Basildon or Dublin, focused on innovative data solutions.
- Benefits: Enjoy a collaborative office environment with opportunities for professional growth and development.
- Why this job: Be at the forefront of data engineering, working with cutting-edge technologies and a passionate team.
- Qualifications: Bachelor's degree in a related field and 5+ years of experience in data engineering required.
- Other info: This role requires working from the office five days a week.
The predicted salary is between 43200 - 72000 £ per year.
Location: Basildon, UK/Dublin, Ireland (Work from office 5 days weekly)
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 fulfill 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
Make sure to showcase your hands-on experience with Snowflake and AWS during networking events or meetups. Engaging with professionals in the field can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Join online forums or communities focused on Snowflake and data engineering. Participating in discussions can help you stay updated on industry trends and may also connect you with hiring managers looking for candidates.
✨Tip Number 3
Consider contributing to open-source projects related to Snowflake or data engineering. This not only enhances your skills but also demonstrates your commitment and expertise to potential employers.
✨Tip Number 4
Prepare to discuss specific projects where you've implemented data warehousing solutions or optimised performance in Snowflake. Real-world examples will make you stand out during interviews and show your practical knowledge.
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 implementing data warehousing solutions.
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 experience with SQL, Python, and any relevant ETL tools.
Showcase Relevant Projects: If you have worked on projects involving data migration to Snowflake or optimising data warehouses, be sure to include these in your application. Detail your role and the impact of your contributions.
Highlight Soft Skills: Don't forget to mention your problem-solving and communication skills. Provide examples of how you've collaborated with teams or stakeholders to meet data requirements effectively.
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 data pipelines or implemented data warehousing solutions, and be ready to answer technical questions that demonstrate your proficiency in SQL, Python, and ETL tools.
✨Understand the Role's Responsibilities
Familiarise yourself with the key responsibilities of a Snowflake Architect. Be ready to discuss how you would approach optimising performance and scalability, as well as how you would ensure data quality and integrity in your work.
✨Prepare for Collaboration Questions
Since collaboration is crucial in this role, think of examples where you've worked with data analysts, scientists, or other stakeholders. Be ready to explain how you defined and fulfilled data requirements in those situations.
✨Stay Updated on Industry Trends
Demonstrate your commitment to continuous learning by discussing recent trends and best practices in data engineering and cloud technologies. This shows that you're proactive and passionate about your field, which can set you apart from other candidates.
