Data Quality

2 days ago

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

Our Ai/ML engineering team ensures Code and Theory delivers 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 YOU'LL 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 Role & responsibilities

Preferred candidate profile

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