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- Tasks: Design and maintain data pipelines using Snowflake on AWS, ensuring data quality and integrity.
- Company: Join a dynamic team in Basildon or Dublin, focused on innovative data solutions.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Why this job: Be at the forefront of data engineering, working with cutting-edge technologies and making a real impact.
- Qualifications: Bachelor's degree in a related field and 5+ years of experience in data engineering required.
- Other info: Hands-on experience with AWS services and strong problem-solving skills are essential.
The predicted salary is between 48000 - 72000 £ per year.
Location: Basildon, UK/Dublin, Ireland
Work from Client 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 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 (Stream sets, 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 modelling.
- 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.
Evaluation will be done according to below:
- Data Architect: Must Have
- Data Migration: Must Have
- Data Modeling: Must Have
- DBT Knowledge: Should Have
- ETL Design: Must Have
- Snowflake Designer/Developer: Must Have
- AWS (S3, ETL/EMR, Security, Lambda etc): Must Have
- Leadership/Team handling: Must Have
- Communication and Collaboration: Must Have
- StreamSet: Should Have
- Python: Should Have
Snowflake Architect employer: Axiom Software Solutions Ltd
Contact Detail:
Axiom Software Solutions Ltd 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 in any conversations you have. Be prepared to discuss specific projects where you've designed or optimised data pipelines, as this will demonstrate your practical knowledge.
✨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 that could give you an edge.
✨Tip Number 3
Familiarise yourself with the latest features and best practices of Snowflake and AWS. Being able to discuss recent updates or innovations during interviews can set you apart from other candidates.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills by thinking of examples where you've tackled data quality or pipeline issues. Highlighting your analytical approach will show that you're not just technically skilled but also a critical thinker.
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 are passionate about data engineering and how your background aligns with the responsibilities of the Snowflake Architect role. Mention any relevant projects or achievements.
Showcase Relevant Skills: Clearly list your proficiency in SQL, Python, and ETL tools like StreamSets and DBT. Highlight your experience with data migration to Snowflake and your understanding of data warehousing concepts.
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.
How to prepare for a job interview at Axiom Software Solutions Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with Snowflake and AWS during the interview. Be prepared to discuss specific projects where you've designed data pipelines or implemented data warehousing solutions, as this will demonstrate your hands-on expertise.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data pipeline issues. Think of examples where you successfully troubleshot problems and maintained data quality, as these will showcase your critical thinking skills.
✨Understand Data Integration
Familiarise yourself with various data integration tools and techniques, particularly those mentioned in the job description like StreamSets and DBT. Being able to discuss how you’ve ensured seamless data flow between sources will impress your interviewers.
✨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 strong communication skills.
