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: 

• Bachelor or Master degree in data analytics, computer science or related field.

Requirements

Technical Skills:

• Structured Query Language (SQL)
• Data Governance Tools example, Informatica, IBM ISEE, Collibra etc

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