AVP-Data Engineering

AVP - Data Engineering  ( Python )

Job Description:

We are seeking a highly skilled, detail-oriented, and motivated Python DQ Automation Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data quality automation solutions using Python. This role requires a deep understanding of data quality principles, proficiency in Python, and experience with data processing and analysis.

Key Responsibilities:

• Design, develop, and implement data quality automation processes and solutions to identify, measure, and improve data quality.
• Write and optimize Python scripts and applications to support data quality initiatives.
• Use Python libraries such as Pandas, NumPy, and PySpark for data manipulation and processing.
• Develop and enhance ETL processes to ensure accurate and timely data integration and transformation.
• Analyze data sets to identify data quality issues, trends, and anomalies, providing insights and recommendations for improvement. Support manual DQ efforts as required.
• Develop and execute test plans to validate the effectiveness of data quality solutions.
• Maintain comprehensive documentation of data quality processes, procedures, and standards.
• Work closely with data analysts, data engineers, DQ testers and other team members and stakeholders to understand data requirements and deliver high-quality data solutions.

Required Skills:

• Proficiency in Python and related libraries (Pandas, NumPy, PySpark, pyTest).
• Experience with data quality tools and frameworks.
• Strong understanding of ETL processes and data integration.
• Familiarity with data governance and data management principles.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Ability to work effectively both independently and as part of a team.

Qualifications:

• Bachelor’s degree in computer science or Information Technology. Advanced degree is a plus.
• Minimum of 7 years of experience in data quality automation and Python Development.
• Proven experience with Python libraries for data processing and analysis.

AVP - 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.

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