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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 Solutions Private Limited
Contact Detail:
Prodapt Solutions Private Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer in Basingstoke
✨Network Like a Pro
Get out there and connect with folks in the data engineering space! Attend meetups, webinars, or even online forums. The more people you know, the better your chances of landing that Snowflake Data Engineer gig.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Snowflake and ETL/ELT pipelines. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on SQL, Snowflake, and cloud platforms like Azure and AWS. Practice common interview questions and be ready to discuss how you've tackled real-world data challenges.
✨Apply Through Us!
Don’t forget to check out our website for job openings. Applying directly through us not only shows your interest but also helps you stand out in the crowd. We’re here to help you land that dream job!
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 any relevant cloud platforms like Azure and AWS. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've designed scalable data solutions or worked with Openflow. This gives us a clear picture of your hands-on experience and problem-solving skills. Don't be shy—let your work shine!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the team. Share your passion for data engineering and how you can contribute to our goals. Make it personal and engaging—show us your personality!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Prodapt Solutions Private Limited
✨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 it in past projects, especially in designing scalable data solutions.
✨Show Off Your ETL/ELT Skills
Prepare to talk about your experience with ETL/ELT pipelines. Have specific examples ready that demonstrate how you've ingested data from various sources like Salesforce or NoSQL databases. Highlight any challenges you faced and how you overcame them.
✨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 folks.
✨Stay Ahead of the Curve
Familiarise yourself with the latest trends in data technologies, especially in AI/ML. Be ready to discuss how you keep your skills current and any recommendations you might have for improving existing data architectures.