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- Tasks: Design and maintain data pipelines using Snowflake on AWS, ensuring data quality and integrity.
- Company: Coforge is a forward-thinking tech company focused on data engineering and cloud solutions.
- Benefits: Enjoy a permanent role with opportunities for professional growth and a collaborative work environment.
- Why this job: Join a dynamic team, work on cutting-edge technology, and make a real impact in data management.
- Qualifications: Bachelor’s degree and 5+ years in data engineering, with expertise in Snowflake and AWS required.
- Other info: This role is office-based in Basildon, UK, fostering teamwork and innovation.
The predicted salary is between 48000 - 72000 £ per year.
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.
Locations
Snowflake Architect employer: Coforge
Contact Detail:
Coforge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Architect
✨Tip Number 1
Familiarise yourself with the latest features and updates in Snowflake and AWS. Being able to discuss recent advancements during your interview will show that you're proactive and genuinely interested in the role.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Snowflake and AWS. Attend relevant meetups or webinars to connect with potential colleagues and learn about industry trends.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through practical examples. Think of specific challenges you've faced in previous roles and how you overcame them, particularly in relation to data pipelines and ETL processes.
✨Tip Number 4
Research the company culture at StudySmarter and align your values with theirs. Understanding their mission and how they operate can help you tailor your responses during interviews and show that you're a good fit for the team.
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'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 tools like Streamsets or DBT.
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: Coforge values communication and problem-solving skills. In your application, provide examples of how you've successfully collaborated with teams or resolved complex issues in previous roles.
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 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 past issues you've encountered in data pipelines and how you resolved them, showcasing your analytical thinking.
✨Understand Data Integration
Familiarise yourself with various data integration tools and techniques, particularly those mentioned in the job description like Streamsets and DBT. Be ready to discuss how you've ensured seamless data flow between different sources and Snowflake in your previous roles.
✨Stay Current with Industry Trends
Research the latest trends in data engineering and cloud technologies. Being knowledgeable about recent advancements will not only impress your interviewers but also demonstrate your commitment to continuous learning in this fast-evolving field.
