Data Engineering (SQL)

Key Responsibilities:

 Design, develop, and implement data quality automation processes to identify, measure, and

improve data quality across the products in the group.

 Write and optimize complex PL/SQL scripts, procedures, and packages to support data quality

initiatives.

 Develop and enhance ETL processes to ensure accurate and timely data integration and

transformation.

 Maintain Oracle databases, ensuring data integrity, performance optimization, and efficient data

storage.

 Analyze data sets to identify data quality issues, trends, and anomalies, providing actionable

insights and recommendations for improvement. Support manual DQ efforts as required.

 Develop and execute test plans to validate the effectiveness of data quality solutions, ensuring

high standards of data accuracy and consistency.

 Maintain comprehensive documentation of data quality processes, procedures, and standards.

 Work closely with data analysts, data engineers, Manual DQ testers and other team members

and stakeholders to understand data requirements and deliver high-quality data solutions.

- Required Skills:

 Proficiency in PL/SQL, SQL, and Oracle database technologies.

 Experience with data quality tools and frameworks.

 Strong understanding of ETL processes and data integration. Talend experience is a big plus.

 Excellent analytical and problem-solving skills with a keen attention to detail.

 Familiarity with data governance and data management principles.

 Strong verbal & written communication skills, with the ability to explain tech. concepts to non-

tech. audience.

 Ability to work effectively both independently and as part of a team.

Qualifications:

 Bachelor’s degree in computer science, Information Technology. Advanced degree is a plus.

 Minimum of 8 years of experience in data quality automation and Oracle database management.

 Proven experience with PL/SQL development and optimization.

 Certifications in Oracle, Talend, DQ preferred.