Informatica Data Quality (IDQ) Developer
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Key skills for this role
About the Role
REACH Energy is hiring a Data Quality Developer for a yearly renewable contract in Abu Dhabi. The role involves designing and automating data quality checks across source systems and pipelines, working closely with data engineers to embed validation logic into ETL/ELT processes.
Key Skills for This Role
Responsibilities
- Design, implement, and automate data quality checks across source systems, data pipelines, and transformation layers
- Embed validation logic into ETL/ELT pipelines
- Build reusable automation frameworks that scale data quality across government data platforms
- Perform data profiling and ETL validation
- Monitor and resolve data quality issues
- Collaborate with data engineers and platform teams
- Document data quality processes and frameworks
Requirements
- 5 7 years’ experience in data engineering, data quality, or analytics engineering roles
- Hands on experience supporting production ETL/ELT pipelines
- Experience implementing automated data validation
- Strong SQL skills for data profiling, validation, and reconciliation
- Experience with Python or similar scripting languages
- Familiarity with data warehouses, data lakes, and large scale data platforms
- Experience with orchestration tools and scheduled workflows
- Working knowledge of version control systems
Full Job Posting
Summary
- We are seeking a Data Quality Developer to design, implement, and automate data quality checks across source systems, data pipelines, and transformation layers.
- This role focuses on foundational data quality controls, ensuring that data entering analytical platforms is accurate, complete, consistent, and technically sound.
- The Data Quality Developer works closely with data engineers and platform teams to embed validation logic into ETL/ELT pipelines and to build reusable automation frameworks that scale data quality across government data platforms.
Key Responsibilities
- Data Profiling & ETL Validation
- Automation & Framework Development
- Monitoring & Issue Resolution
- Collaboration & Documentation
Required Experience & Skills
- 5 7 years’ experience in data engineering, data quality, or analytics engineering roles
- Hands on experience supporting production ETL/ELT pipelines
- Experience implementing automated data validation
- Strong SQL skills for data profiling, validation, and reconciliation
- Experience with Python or similar scripting languages
- Familiarity with data warehouses, data lakes, and large scale data platforms
- Experience with orchestration tools and scheduled workflows
- Working knowledge of version control systems
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