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- Tasks: Join a team to develop and maintain ETL pipelines for data warehousing.
- Company: A dynamic organisation focused on data engineering and analytics.
- Benefits: Enjoy remote work flexibility and competitive daily rates.
- Why this job: Be part of impactful projects while enhancing your technical skills in a collaborative environment.
- Qualifications: Experience with SAP Data Services, Oracle, SQL, and familiarity with data engineering best practices required.
- Other info: Candidates must be eligible for SC Clearance.
We are looking for an experienced Data Engineer to join an existing team and be responsible for maintaining and developing the DWH provision for reporting and regulation.
Daily the role involves developing ETL pipelines, deploying ETL packages and rigorous testing in response to project and incident requests. You will be involved in detailed requirements gathering to enable clear definition, base-lining and management of requests. You will be able to interpret requirements and apply data engineering standards, modelling and design techniques to these requirements to define and document data warehouse component specifications to facilitate and participate in the coding, verifying, testing, amending, and refactoring of data flows, data pipelines, programs, and scripts.
Skills and Experience
- Proven experience in SAP Data Services
- Experienced in Oracle
- Solid SQL skills and technical knowledge of some of the following: Python, Powershell, SOAP, REST, WSDL, SFTP/FTPS, SSIS, TOAD and SSMS
- Understanding of DWH principles and data development best practices, including data regulations.
Data Engineer - SAP Data Services, Oracle, SQL, ETL - (SC Cleared) employer: Global Resourcing
Contact Detail:
Global Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - SAP Data Services, Oracle, SQL, ETL - (SC Cleared)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SAP Data Services and Oracle. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with SC clearance. Engaging with them on platforms like LinkedIn can provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with ETL processes in detail. Be ready to share specific examples of how you've developed and deployed ETL pipelines, as this is a key responsibility of the role.
✨Tip Number 4
Stay updated on data regulations and best practices in data warehousing. Being knowledgeable about current trends and compliance issues will demonstrate your commitment to the field and your ability to contribute effectively.
We think you need these skills to ace Data Engineer - SAP Data Services, Oracle, SQL, ETL - (SC Cleared)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAP Data Services, Oracle, and SQL. Include specific examples of ETL pipeline development and any relevant projects that demonstrate your skills in data engineering.
Craft a Strong Cover Letter: Write a cover letter that addresses the key responsibilities mentioned in the job description. Emphasise your experience with data warehouse principles and your ability to gather requirements effectively.
Showcase Relevant Skills: In your application, clearly outline your technical skills, especially those related to Python, Powershell, and other technologies mentioned. Use bullet points for clarity and impact.
Highlight SC Clearance Eligibility: Since candidates must be eligible for SC Clearance, make sure to mention your eligibility or any relevant security clearances you hold in your application to stand out.
How to prepare for a job interview at Global Resourcing
✨Showcase Your Technical Skills
Make sure to highlight your experience with SAP Data Services, Oracle, and SQL during the interview. Be prepared to discuss specific projects where you've developed ETL pipelines or worked with data warehousing principles.
✨Understand the Role Requirements
Familiarise yourself with the job description and be ready to explain how your skills align with the responsibilities outlined. This includes your ability to gather requirements and manage requests effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you had to troubleshoot issues in ETL processes or improve data flow efficiency.
✨Demonstrate Your Knowledge of Data Regulations
Since the role involves compliance with data regulations, be prepared to discuss your understanding of these principles. Show that you are aware of best practices in data development and how they apply to the role.
