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For Companies At a Glance
- Tasks: Design and build scalable data solutions using Snowflake and optimise workflows with Openflow.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights for businesses.
- Qualifications: Experience with Snowflake, SQL, and cloud platforms like Azure and AWS.
- Other info: Collaborative team environment with a focus on emerging data technologies.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Design and architect scalable, secure, and high-performance data solutions primarily using the Snowflake platform. Leverage Openflow experience to optimize data workflows and integrations. Develop and maintain ETL/ELT pipelines for data ingestion from various sources, including Salesforce, relational databases, files, and NoSQL databases. Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions. Implement dimensional modeling techniques to support data warehousing and business intelligence needs. Build and optimize data pipelines across cloud environments (Azure and AWS) ensuring efficient data movement and transformation. Ensure data quality, governance, and security best practices are adhered to across the data architecture. Support analytics and reporting teams by enabling data access and integration with Power BI and Tableau dashboards. Stay current with emerging data technologies and recommend improvements to existing data architecture.
Responsibilities
- Proven experience as a Data Architect or similar role, with extensive hands-on experience on the Snowflake platform.
- Experience with Openflow for workflow automation and data orchestration.
- Strong knowledge of SQL Server and relational database concepts.
- Proficiency in cloud platforms, particularly Microsoft Azure and Amazon Web Services (AWS).
- Understanding of Salesforce data ingestion methods and associated APIs/tools.
- Experience working with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
- Familiarity with analytics and visualization tools such as Power BI and Tableau.
- Strong problem-solving skills and ability to work collaboratively in cross-functional teams.
- Excellent communication skills to translate technical concepts for non-technical stakeholders.
- Experience with Python, Spark, or other data engineering tools/languages.
- Knowledge of latest trends in AI/ML areas.
Snowflake Data Engineer in Basingstoke employer: Prodapt
Contact Detail:
Prodapt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Snowflake Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake and data pipelines. We love seeing real-world applications of your expertise, so make sure to highlight your best work.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practicing with friends or using mock interview platforms to get comfortable discussing your experience with SQL, cloud platforms, and ETL processes.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Snowflake Data Engineer in Basingstoke
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Snowflake Data Engineer role. Highlight your experience with Snowflake, ETL/ELT pipelines, and cloud platforms like Azure and AWS. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've implemented data solutions or optimised workflows using Openflow or similar tools. This gives us a clear picture of your hands-on experience and problem-solving skills.
Be Clear and Concise: When writing your cover letter, keep it straightforward. Explain why you're passionate about data engineering and how you can contribute to our team at StudySmarter. We appreciate clarity and enthusiasm!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come in directly!
How to prepare for a job interview at Prodapt
✨Know Your Snowflake Inside Out
Make sure you’re well-versed in the Snowflake platform. Brush up on its features, architecture, and best practices. Be ready to discuss how you've used Snowflake in past projects and how it can solve specific data challenges.
✨Show Off Your ETL/ELT Skills
Prepare to talk about your experience with ETL/ELT pipelines. Have examples ready that showcase your ability to ingest data from various sources like Salesforce and NoSQL databases. Highlight any optimisations you've made to improve performance.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to share examples of how you've collaborated with data engineers, analysts, and business stakeholders. Emphasise your communication skills and how you’ve translated technical concepts for non-technical audiences.
✨Stay Ahead of the Curve
Demonstrate your knowledge of emerging data technologies and trends, especially in AI/ML. Be ready to discuss how you keep your skills current and how you would recommend improvements to existing data architectures based on new technologies.