ខ្មែរ
Senior Data Steward
Full Time Phnom Penh Posted 2 weeks ago
Technology
- Provide technical support & analysis
- Develop, implement, and maintain data governance policies, standards, and procedures in alignment with regulatory requirements and business guidelines.
- Design and implement short-and long-term project plans to make certain tools and technology (metadata, classification, profiling) to meets existing and future requirements.
- Gathering, document, and reviewing requirements with various business and data partners across the organization
- Establish clear data ownership, definitions, and accountability across the organization.
- Responsible for defining standards and best practices for data analysis, modeling, and queries.
- Responsible for solving data related issues and communicating resolutions with other solution domains.
- Responsible for crosscheck data lineage, classification, and profiling
- Responsible implement and maintenance technical & business glossary
- Act as the primary liaison between data owners, stewards, and business partners.
- Prepare and present periodic reports, dashboards, or briefs on data governance, quality initiatives, and risk management.
- Graduated bachelor degree of Information Technology, preferably in the field of Computer Science.
- 2+ years of experience in related field DBA, DATA Engineer or relevant in data management (master data, metadata, data quality and data modeling)
- Experience with Data Governance tools such as Talend Catalog, informatica, Apache Atlas, Dataddo etc.
- Experience with various ETL tools such as Talend, NIFI etc.
- Experience with implement data warehouse and data mart
- Thorough knowledge on how data assets/products are developed and used within business processes and data science/analytics use cases, by different consumers
- Solid understanding about DAMA DMBOK2 Framework & CRISP-DM process
- Prior experience in Banking industry, with knowledge and experience with relevant data domains and datasets
- Possesses knowledge in data modeling and management techniques and strategies
- Ability to develop efficient processes and product high quality documentation
- Solid understanding of key RDBMS platforms like ORACLE, SQL SERVER, POSTGRESQL
- Possesses knowledge of Big Data stack (HADOOP, HBASE, HIVE,NIFI, SQOOP)
- Having experience with Apache Spark, Pyspark and Kafka is preferable