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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 solutions and innovation.
- Benefits: Enjoy a permanent role with opportunities for professional growth in a collaborative environment.
- Why this job: Join a dynamic team, work on cutting-edge technology, and make a real impact in data engineering.
- Qualifications: Bachelor's degree in a related field and 5+ years of experience in data engineering required.
- Other info: This role is office-based in Basildon, UK, fostering teamwork and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
Snowflake Architect with Azure (Permanent Role) Basildon, UK (Work from Client office 5 days week)
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.
Coforge is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.
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
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. Use platforms like LeetCode or HackerRank to sharpen your SQL and Python skills, ensuring you're ready to tackle any challenges presented.
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 and AWS. Include specific projects where you've designed data pipelines or implemented data warehousing solutions, as this will directly relate to the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience in data engineering and how it aligns with the responsibilities outlined in the job description. Be sure to include examples of your problem-solving skills and any successful projects.
Showcase Technical Skills: Clearly list your technical skills, especially your proficiency in SQL, Python, and ETL tools. If you have experience with Oracle RDBMS or data migration to Snowflake, make sure to highlight that as well.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role like this.
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 engineering and how you resolved them, focusing on your analytical approach.
✨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 can demonstrate your commitment to continuous learning and your ability to bring innovative solutions to the team.
