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- Tasks: As a Data Quality Specialist, you'll write scripts, design ETL workflows, and analyse data quality.
- Company: Join a forward-thinking tech company dedicated to data excellence and innovation.
- Benefits: Enjoy flexible working hours, remote work options, and opportunities for professional growth.
- Why this job: Make an impact by ensuring data integrity while working in a collaborative and dynamic environment.
- Qualifications: Proficiency in Perl, experience with ETL processes, and strong analytical skills are essential.
- Other info: Ideal for tech-savvy individuals eager to enhance their data management skills.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Technical Proficiency:
Proficiency in Perl:
- Writing and maintaining scripts for data processing and automation.
- Experience with text manipulation and data extraction.
Pentaho Data Integration:
- Designing and implementing ETL workflows.
- Job orchestration and data transformation.
Oracle / PL-SQL:
- Writing complex queries and stored procedures.
- Performance tuning and optimization.
Database Administration (Added Advantage):
- Familiarity with backup, recovery, and user management.
- Understanding of database security and performance monitoring.
Data Analysis:
- Identifying and resolving data quality issues.
- Using analytical tools to derive insights from data
Data Quality Specialist employer: Hirexa Solutions UK Limited
Contact Detail:
Hirexa Solutions UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Specialist
✨Tip Number 1
Familiarise yourself with Perl and practice writing scripts that focus on data processing. Consider creating small projects or contributing to open-source initiatives to showcase your skills in text manipulation and data extraction.
✨Tip Number 2
Gain hands-on experience with Pentaho Data Integration by designing your own ETL workflows. You can find online tutorials or courses that will help you understand job orchestration and data transformation, which are crucial for this role.
✨Tip Number 3
Brush up on your Oracle and PL-SQL skills by writing complex queries and stored procedures. Try to optimise these queries for performance, as this is a key aspect of the job that employers will be looking for.
✨Tip Number 4
Develop a solid understanding of database administration concepts, including backup, recovery, and user management. Familiarity with database security and performance monitoring will give you an edge over other candidates.
We think you need these skills to ace Data Quality Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your technical proficiency in Perl, Pentaho Data Integration, and Oracle/PL-SQL. Include specific examples of scripts you've written, ETL workflows you've designed, and any complex queries you've executed.
Craft a Strong Cover Letter: In your cover letter, emphasise your experience with data quality issues and how you've used analytical tools to derive insights. Mention your familiarity with database administration tasks, even if it's an added advantage.
Showcase Relevant Projects: If you have worked on projects that involved data processing, automation, or performance tuning, be sure to include these in your application. Describe your role and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A well-presented application reflects your attention to detail, which is crucial for a Data Quality Specialist.
How to prepare for a job interview at Hirexa Solutions UK Limited
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Perl and how you've used it for data processing. Bring examples of scripts you've written or maintained, and be ready to explain the logic behind them.
✨Demonstrate ETL Knowledge
Familiarise yourself with Pentaho Data Integration and be ready to talk about any ETL workflows you've designed. Discuss the challenges you faced and how you overcame them to show your problem-solving skills.
✨Highlight Database Expertise
If you have experience with Oracle and PL-SQL, prepare to discuss complex queries and stored procedures you've written. Be ready to explain how you approached performance tuning and optimisation in past projects.
✨Discuss Data Quality Insights
Prepare to talk about specific instances where you've identified and resolved data quality issues. Use analytical tools to derive insights from data and share how these insights impacted decision-making.
