Data Quality Engineer

1 week ago

gurgaon, India True Tech Professionals Full time
Job Summary:
We are seeking a meticulous and proactive Data Quality Engineer to join our dynamic Data
Engineering team. The ideal candidate will possess a deep understanding of data quality,
validation, and data reconciliation concepts. They will collaborate closely with our data
engineers to ensure the integrity and accuracy of our data. This role requires expertise in
PySpark, Python, data pipelines, ETL processes, and Snowflake.
Key Responsibilities:
• Data Quality Management: Develop and implement data quality checks, validation
procedures, and reconciliation processes to ensure data integrity and consistency.
• Collaboration: Work closely with data engineers to design and optimize data
pipelines and ETL processes, ensuring data quality throughout the data lifecycle.
• Data Validation: Create automated scripts and processes to validate data against
business rules and requirements using PySpark and Python.
• Data Reconciliation: Develop and maintain data reconciliation frameworks to
identify and resolve data discrepancies in a timely manner.
• Snowflake Expertise: Leverage Snowflake for data warehousing and data quality
management, ensuring efficient and effective data storage and retrieval.
• Process Improvement: Identify areas for improvement in existing data quality
processes and propose innovative solutions to enhance data accuracy and
reliability.
• Documentation: Maintain comprehensive documentation of data quality
procedures, validation rules, and reconciliation processes.
• Reporting: Generate regular reports on data quality metrics, highlighting issues and
trends to inform stakeholders and drive continuous improvement.
Qualifications:
• Education: Bachelor’s degree in Computer Science, Information Technology, or a
related field. Master’s degree is a plus.
• Experience: Minimum of 4 years of experience in a data quality engineering role,
with a strong focus on data validation, reconciliation, and quality management.
• Technical Skills:
o Proficiency in PySpark and Python for data processing and automation.
o Extensive experience with data pipelines and ETL processes.
o Strong knowledge of Snowflake for data warehousing and quality
management.
o Familiarity with SQL and other database technologies.
Soft Skills:
o Excellent problem-solving and analytical skills.
o Strong attention to detail and commitment to data accuracy.
o Effective communication skills, with the ability to collaborate with cross-
functional teams.
o Ability to work independently and manage multiple priorities in a fast-paced
environment.

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