Description
- Drive the enterprise data initiatives / programs to establish a governed, curated, and agile data ecosystem that enables business to make data-driven decisions.
- Collaborate with stakeholders, cross-functional Data Governance team, Data Engineers/IT team, Data Owners, Data Stewards, Data source administrators, platform and software developers to ensure standards, policy, measurement metrics are being met
- Define metrics for performance monitoring, data management practices, data utilization, data processing cost using available logs
- Design, develop and maintain Data Catalogue, Metadata Management repository/module and Data Lineage through Data Management / Quality tools.
- Responsible for Data Management Across the organization.
- Develop best-in-class architecture and integration of tools for management of data quality
- Manage Data Quality Engineering team and provide reporting on data issues, data quality improvement initiatives and measurement metrics
- Develop best-in-class architecture for Customer 360 database – Continuously engage with stakeholders to improve user experience and efficiency of use
Entry Requirements
- Bachelor’s degree in computer science, computer engineering, electrical engineering, systems analysis or a related field of study
- 10+ Years of Relevant Experience
- Experience within the field of Data Engineering, Data Management, implementing real-time ingestion/streaming, maintaining Big Data Lake/Warehouse and experience in ETL tasks on premise and cloud.
- Excellent Knowledge in batch and Realtime ETL design using tools like Kafka, Flume, and accelerated Stream processing
- Hands on cloud computing ( AWS preferred ), cloud data engineering and expertise in data model design, enterprise data warehousing
- Understanding of OSS, BSS, system integrations
- Expertise in data quality, master & metadata management, data Security
- Awareness of data privacy & compliance requirements of country and organization
Closing Date: 2023/09/14