Job Description
- Bachelor’s degree.
- 7+ years of experience in Data Governance disciplines: data profiling, data quality measurement, exception management, remediation, metadata management and business intelligence.
- Experience with Data Governance tools such as IBM InfoSphere Information Server Suite, Collibra or Informatica.
- Experience with Business Intelligence/ Reporting tools such as Tableau / Cognos.
- Proficient with SQL.
- Experience with Databases (i.e., Oracle, SQL Server, DB2, Amazon Redshift).
- Strong data analysis capabilities.
- Previous experience in designing and building data capabilities like data quality, metadata, data catalogues and data dictionary.
- Capital market or banking domain experience is preferred.
- Prior development / coding experience is preferred.
- Responsible for gathering technical requirements to capture metadata and lineage working with Business and Technical SMEs.
- Design, Build and Execute Data Quality Rules over the critical data elements (CDEs) identified according to the business needs to ensure clean and healthy data.
- Ability to develop and implement Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Databases, Flat Files, JSON, APIs, Kafka etc.
- Manage Data Quality Exceptions and help the team to find out the root cause analysis.
- Hands on experience working on data quality and Data Governance technology and tools.
- Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams.
- Develop Metadata and Data Lineage Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Databases, Flat Files, JSON, APIs, Kafka, ETL/BI Tools etc.