Data Quality Engineer

1 week ago

Bengaluru, Karnataka, India Wenger & Watson Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Our Ai/ML engineering team ensures innovative, immersive web

experiences that delight our clients and their customers. We are always striving to balance the

demanding nature of working on cutting-edge technologies with the real-world demands of

high performance, high security, and accessibility. Working in collaboration with our multi-

disciplinary engineering, design, and quality assurance teams, you will build software that

solves real-world problems for incredible clients.

WHAT YOULL DO:

• Data Validation and Testing: Develop and implement testing procedures to validate the

integrity and accuracy of data pipelines, databases, and datasets

• Data Audits: Regularly conduct audits on data to identify discrepancies, errors, and

inconsistencies across systems

• Data Quality Frameworks: Design, build, and maintain data quality frameworks that

track data integrity, accuracy, completeness, and consistency

• Root Cause Analysis: Identify the root cause of data quality issues and work with data

engineers and system architects to implement long-term solutions

• Data Governance: Collaborate with data governance teams to ensure compliance with

data management policies, standards, and regulations

• Automation: Create automated monitoring and alerting systems for real-time data

quality checks and issue detection

• Documentation: Maintain comprehensive documentation of data quality processes,

procedures, and results to ensure transparency and traceability

• Work closely with cross-functional teams, including data engineering, data analytics, and

product management, to ensure data requirements meet business needs

WHAT YOULL NEED:

• Proven experience in data quality, data analysis, or data engineering roles


• Strong knowledge of SQL and experience working with relational databases

• Familiarity with data quality tools and technologies such as Talend, Informatica, or

Apache NiFi

• Experience with data validation and quality testing frameworks

• Knowledge of ETL processes and data warehousing solutions

• Strong analytical and problem-solving skills

• Excellent attention to detail and commitment to accuracy

• Ability to communicate technical concepts to non-technical stakeholders

• Experience with cloud platforms such as AWS, Azure, or GCP

• Knowledge of scripting languages such as Python or R

• Familiarity with data governance frameworks and practices

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