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- Tasks: Design and maintain data pipelines using Snowflake on AWS, ensuring efficient data storage and retrieval.
- Company: Coforge is a forward-thinking tech company focused on innovative data solutions.
- 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, with a focus on diversity and inclusion.
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.
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
Familiarise yourself with the latest features and updates in Snowflake and AWS. Being able to discuss recent advancements during your interview will show your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data engineering community, especially those who work with Snowflake and AWS. Attend relevant meetups or webinars to make connections that could lead to referrals.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss specific challenges you've faced in data pipeline optimisation and how you resolved them.
✨Tip Number 4
Research Coforge and their projects related to data engineering. Understanding their business model and how they utilise Snowflake can help you tailor your responses to align with their goals during the interview.
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 pipeline issues. Prepare examples of past experiences where you successfully monitored, troubleshot, and resolved data quality or integrity problems.
✨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 data requirements, ensuring you convey your ability to communicate complex technical concepts to non-technical stakeholders.
✨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 demonstrate your commitment to continuous learning in the field.
