Job Description
Primary Duties and Responsibilities:
To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.
- Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs.
- 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.
- Create, develop, configure and execute end to end business and technical data lineage across disparate sources in accordance with the Data Governance Standards, Policies and Procedures.
- Experience working on metadata management, administration, support and ingest data management assets using extension mappings, custom data assets, metadata bridges, connectors, third party metadata bridges ensuring data lineage/ source to target data mapping.
- 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.
- Perform requirements gathering, Data Analysis, Data Profiling to enable all the essential functions of the Data Governance.
- Design and implement Data Quality Dashboards for monitoring and reporting.
- Experience creating, developing and managing DG workflows using BPM processes.
- Perform other duties as assigned.
Qualifications:
The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.
- Bachelor or Master degree in data analytics, computer science or related field.
- 4+ years of experience in data governance disciplines: data profiling, data quality measurement, exception management, remediation, metadata management and business intelligence
- Ability to work independently and as part of a team to successfully execute projects.
- Ability to multitask and meet aggressive deadlines efficiently and effectively.
- 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.
- Proficient with Microsoft Office desktop tools (Word, Excel, etc.)
- 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.
- Demonstrated strong communication and presentation skills.
- Capital market or banking domain experience is preferred.
- Prior development / coding experience is preferred.
- Experience working on APIs, Kafka as Data Sources is preferred.
Technical Skills:
- Structured Query Language (SQL)
- Data Governance Tools example, Informatica, IBM ISEE, Collibra etc
Education and/or Experience:
Requirements
Technical Skills:
- Structured Query Language (SQL)
- Data Governance Tools example, Informatica, IBM ISEE, Collibra etc
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