Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
Key Responsibilities:
- Define and implement Data quality framework, standards, rules & best practices
- Prior experience leading large scale DQ implementations
- Lead the implementation of DQ solution and develop integration pipelines to onboard new sources.
- Engage with stakeholders to perform requirement gathering, and solution presentation.
- Collaborate with Architects to build scalable data quality solutions and incorporate automation
- Perform data analysis to identify anomalies, gaps and inconsistencies.
- Analyze the DQ executions and current DQ rules to recommend custom DQ rules to improve data accuracy and reliability.
- Leverage DQ tools like Collibra DQ and other tools to implement automation and quality standards.
- Lead and guide the implementation team in solution design and build activities
- Must have hands-on experience in implementing large DQ solutions using tools like Collibra DQ, Informatica DQ and similar tool
- Technical Expertise: Strong knowledge of SQL, ETL, data governance, and modeling.
- Hands-on Experience: Skilled in Collibra DQ, Informatica DQ and similar tools.
- Experience with Data architecture(Data Mesh) and implementing ETL on Snowflake,Azure
