Job Opportunities in Thailand

Background in SQL, databases and/or data science OR.
BS/MS in software engineering, computer science, mathematics.
Document data sources in enterprise data catalog with metadata, lineage and classification information.
Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
Implement minor changes to existing data visualization applications, reporting dashboards.
Document modifications to reporting applications based on modifications applied.
Comprehend and adhere to all data security policies and procedures.
Create data tools for analytics and data scientist team members.
Build analytical tools to provide actionable insights into key business KPIs, etc.
Work with data engineers to optimize pipelines for scalability and data delivery.
Functional Competency.
Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
Experience with data tools for visualizations, analytics and reporting.
Strong analytical skills with ability to research, assess and develop observations/findings.
Ability to communicate findings, approaches to cross functional teams and stakeholders.
3+ years' hands-on experience with a data science background.
Some programming skills in Java, Python and SQL.
Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and No SQL databases (e.g. Cassandra, Mongo DB, Dynamo DB).
Educational.
Background in SQL, databases and/or data science OR.
BS/MS in software engineering, computer science, mathematics.
Document data sources in enterprise data catalog with metadata, lineage and classification information.
Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
Implement minor changes to existing data visualization applications, reporting dashboards.
Document modifications to reporting applications based on modifications applied.
Comprehend and adhere to all data security policies and procedures.
Create data tools for analytics and data scientist team members.
Build analytical tools to provide actionable insights into key business KPIs, etc.
Work with data engineers to optimize pipelines for scalability and data delivery.
Functional Competency.
Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
Experience with data tools for visualizations, analytics and reporting.
Strong analytical skills with ability to research, assess and develop observations/findings.
Ability to communicate findings, approaches to cross functional teams and stakeholders.
3+ years' hands-on experience with a data science background.
Some programming skills in Java, Python and SQL.
Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and No SQL databases (e.g. Cassandra, Mongo DB, Dynamo DB).
Job skills required: Java, SQL, Research
Job skills preferred: Oracle, Python, No SQL