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- Tasks: Create and manage data connections, validate files, and enhance auto-reconciliation.
- Company: Join Clearwater Analytics, a leader in data management and analytics solutions.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and skill development.
- Why this job: Be part of a tech-driven team that values innovation and continuous improvement.
- Qualifications: Bachelor's degree in Math, Computer Information Systems, or related fields required.
- Other info: Ideal for recent grads looking to kickstart their career in data engineering.
The predicted salary is between 28800 - 48000 £ per year.
Job Summary:
The Data Flow Engineer\’s primary role is to create and manage data connections, perform validations, and execute transformations. Their work is integral to the ongoing process of iterative improvement, with a particular focus on enhancing auto-reconciliation within the system through advanced technology.
Responsibilities:
- Import and validate file delivery for new clients.
- Automate daily process monitoring and reporting.
- Establish connections through external APIs and FTPs.
- Ensure timely and dependable consumption of external portfolio data.
- Normalize external datasets into a standardized Clearwater format facilitating the in-take process.
- Mine data from existing feeds to identify, design, and implement solutions to improve auto-reconciliation.
- Execute improvements requested from Operations and Development groups.
- Apply acquired skills, procedures, and decision-making best practices to complete various issues, such as normalizing new feeds and improving automation.
- Understand and reference or explain the general workflow, tools, and Clearwater value proposition.
- Use critical thinking to address issues and offer solutions for both internal and external parties, ensuring best practices are employed.
- Clearly and effectively communicate the technical aspects of Clearwater systems and our best practices with non-technical internal and external stakeholders.
- Engage in light on-call duties.
Education and Experience:
- Bachelor\’s degree in Math, Computer Information Systems, Data, or other relevant degrees.
Required Skills:
- Good understanding of SQL and relational database principles.
- Experience with scripting programming languages like Groovy, Perl or Python, good to have.
- Experience with industry-standard data transmission protocols preferred.
- Strong computer skills, including proficiency in Microsoft Office.
- Excellent attention to detail and strong documentation skills.
- Outstanding verbal and written communication skills.
- Strong organizational and interpersonal skills.
- Exceptional problem-solving abilities.
Clearwater Analytics | Data Flow Engineer (Graduate Role) employer: Clearwater Analytics
Contact Detail:
Clearwater Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clearwater Analytics | Data Flow Engineer (Graduate Role)
✨Tip Number 1
Familiarize yourself with SQL and relational database principles. Since these skills are crucial for the Data Flow Engineer role, having a solid understanding will help you stand out during discussions.
✨Tip Number 2
Brush up on your scripting skills, especially in languages like Groovy, Perl, or Python. Being able to demonstrate your ability to automate processes will show that you're ready to contribute from day one.
✨Tip Number 3
Gain some hands-on experience with data transmission protocols. Understanding how to establish connections through APIs and FTPs will be a big plus and can set you apart from other candidates.
✨Tip Number 4
Practice explaining technical concepts in simple terms. Since you'll need to communicate effectively with non-technical stakeholders, being able to break down complex ideas will be essential.
We think you need these skills to ace Clearwater Analytics | Data Flow Engineer (Graduate Role)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Flow Engineer. Familiarize yourself with data connections, validations, and transformations, as well as the importance of auto-reconciliation.
Tailor Your CV: Highlight your relevant skills and experiences in your CV. Emphasize your understanding of SQL, any experience with scripting languages like Groovy, Perl, or Python, and your problem-solving abilities.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with Clearwater Analytics' needs. Mention specific examples of how you've used critical thinking to solve problems in past projects.
Showcase Communication Skills: Since the role requires clear communication with both technical and non-technical stakeholders, provide examples in your application that demonstrate your ability to convey complex information effectively.
How to prepare for a job interview at Clearwater Analytics
✨Showcase Your Technical Skills
Make sure to highlight your understanding of SQL and any experience you have with scripting languages like Groovy, Perl, or Python. Be prepared to discuss specific projects where you've applied these skills.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex problems in the past. Discuss your thought process and the steps you took to arrive at a solution, especially in relation to data management and automation.
✨Communicate Clearly
Since the role involves explaining technical concepts to non-technical stakeholders, practice articulating your thoughts clearly and concisely. Use simple language to describe complex ideas and ensure your communication is effective.
✨Understand Clearwater's Value Proposition
Familiarize yourself with Clearwater Analytics and its services. Be ready to discuss how your role as a Data Flow Engineer contributes to the company's goals, particularly in enhancing auto-reconciliation and improving data processes.
