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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 competitive day rate of GBP 400 and work in a collaborative office environment.
- Why this job: Be at the forefront of data engineering, working with cutting-edge technologies and a talented team.
- Qualifications: Bachelor's degree and 5+ years in data engineering, with expertise in Snowflake and AWS required.
- Other info: This role requires hands-on experience with SQL, Python, and various ETL tools.
The predicted salary is between 72000 - 108000 £ per year.
Location: Basildon, UK/Dublin, Ireland
Work from the Client office 5 days a week
Day rate: GBP 400/day
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.
- Optimise 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 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 Modelling Must-Have
- DBT Knowledge Should Have
- ETL Design Must-Have
- Snowflake Designer/Developer Must Have
- AWS (S3, ETLEMR, Security, Lambda, etc) Must Have
- Leadership/Team handling Must Have
- Communication and Collaboration Must Have
- StreamSet Should Have
- Python Should Have
Contact Detail:
Silicon Logic UK Ltd. 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 knowledgeable about recent advancements can give you an edge during discussions with potential employers, showcasing 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 connect with industry experts, which could lead to valuable referrals or insights about job openings.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data migration to Snowflake. Be ready to explain your approach, the challenges faced, and how you optimised performance, as this will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Showcase your collaboration skills by highlighting experiences where you've worked closely with data analysts or scientists. Emphasising your ability to communicate effectively and fulfil data requirements will resonate well with hiring managers looking for team players.
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 any ETL tools you have used. If you have experience with Oracle RDBMS or data migration to Snowflake, make sure to highlight these as they are crucial for the role.
Demonstrate Problem-Solving Abilities: Provide examples in your application that showcase your problem-solving skills, particularly in troubleshooting data pipeline issues and ensuring data quality and integrity.
How to prepare for a job interview at Silicon Logic UK Ltd.
✨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.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your problem-solving skills. Prepare examples of how you've monitored, troubleshot, and resolved data pipeline issues in the past, ensuring data quality and integrity.
✨Emphasise Collaboration Experience
Since the role involves working closely with data analysts and scientists, be sure to share experiences where you've collaborated effectively with stakeholders. Discuss how you defined and fulfilled data requirements in previous roles.
✨Stay Updated on Industry Trends
Show your enthusiasm for the field by discussing recent trends and best practices in data engineering and cloud technologies. This demonstrates your commitment to continuous learning and staying relevant in a fast-evolving industry.
