Overview
We are looking for a Data Governance Engineer to strengthen our data capabilities with more robust standards and policies to handle our data. This will include defining how we process the data, access the data, and visualize the data. In short, this Data Governance role would be in charge of implementing how we store and manage who can access it, and to create policies around our data warehouse and visualization tools. All these we aim to be as automatic as possible.
About the role
- Establish and promote proper procedures, policies, and standards to our data that enable our organization to use data more effectively and efficiently.
- Propose and establish data quality standards, metrics, and monitoring systems to be applied in all our data stacks and ensure it is implemented well.
- Work with business, engineering, legal, risk, and other related departments/teams to set up our data policies consisting of Data Classification, Data and Dashboard User Access Matrix, etc.
- Design and set up our Data Catalog to enable the same data understanding and knowledge among the business users, engineering, and other related teams.
- Promote and communicate all these procedures, policies, and standards to our stakeholders and related business units and maintain business flow to ensure our stakeholders can leverage more usage of our data.
About you
- At least 1-3 years of experience in data fields.
- Experience in data governance related roles will be a big plus.
- Strong understanding of data security, data modeling, data quality/monitoring, and data architecture.
- Hands-on experience with UNIX and Python programming (Spark, Airflow, and other data engineering tools preferred).
- Proficiency in SQL is a must, with the ability to write efficient queries.
- Hands-on experience with cloud data warehouses (AWS and GCP preferred).
- Strong communication skills with business and technical users (Bahasa and English).
- Experience in documenting processes, data flows, and policies is preferred.