• Minimum 3 years experience in Sales, Business Development or Partnerships.
• Must have excellent communication, negotiation and presentation skills.
• Knowledge in technology sector is a plus.
• Ability to develop relationships with all key stakeholders
• Driven, self-starting attitude with a willingness to learn
• Good knowledge of Microsoft & Google suite
• Ability to write knock-out proposals in English
• Independently motivated for success
• Self-management attitude to targets and self development

• Bachelor’s degree in Accounting or equivalent plus a minimum of 3 years related experience
• ACCA graduate or currently studying
• Experience with creating financial statements
• Experience with general ledger functions and the month-end/year-end closing process
• Fluency of English, both orally and in writing
• Excellent accounting software (Quickbook) user and administration skills
• Strong knowledge of Excel (Pivot tables, graphs)
• Good knowledge of the Cambodian taxation system
• Strongly self-confident and flexibility
• Willing to be our long term staff/ team
• Hard-working and honest
• Must have exceptional problem-solving abilities
• Must be able to work independently
• Must be detail-oriented and organized

• Strong experience with SQL Server, T-SQL and its satellite technologies (SSIS, SSRS, Power BI)
• Strong Microsoft SQL Server experience including the ability to write readable & reusable stored procedures, model and create views, tables, and other necessary artifacts.
• Strong SQL and T-SQL development and coding skills
• Experience building and optimizing ETL processes and data pipelines using SSIS, Talend or other
• Data manipulation and management skills along with a strong analytical sense
• Experience as a Business Intelligence Analyst is a plus
• Background in finance is preferred
• Experience as a Data Warehouse Engineer is also a plus
• Experience in troubleshooting and resolving end-to-end database integrity issues, performance issues, deadlocking issues
• Understanding Data Architecture principles and Data Governance best practices.
• Good communications skills in English
• Excellent leadership and team management skills
• Experience with version control with Git, Bitbucket and/or Team Foundation Server (TFS)
• Familiar with Agile development methodologies
• Can quickly adapt to changing requirements
• Detail-oriented, curious and self-driven
• Enthusiastic, positive, ambitious and a self-learner

• Bachelor degree or higher in relevant subjects such as software engineering, data engineering, computer science, statistics, economics, finance, mathematics or related fields
• Minimum 3+ years of experience – A plus in finance/banking/Insurance sector or consulting company
• Experience with programming languages: SQL, T-SQL, Python
• Experience with big data tools like Hadoop, Spark, and Hive will be highly desirable
• Experience with data analytics and visualization tools like MS Power BI, Google Data Studio, Tableau, Grafana, Apache Superset, etc.
• Familiarity with ETL and data warehousing tools such as Talend, Airflow, SSIS, Informatica
• Familiarity with common database systems
o Relational Databases (RDMS): Postgres, MySQL, Oracle, MS SQL Server
o Cloud computing and database: Redshift, Azure SQL Database, Amazon S3, etc.
o NoSQL Databases: MongoDB, Cassandra, HBase
o Big Data: Hadoop, Spark, MapReduce, Hive, and Pig, and other Big Data Stacks
o Graph Database: Neo4j, Amazon Neptune, Redis, etc.
o Strong desire to establish standards of best practice, automation workflow and framework
o Soft and interpersonal skills:
o Great communication skills; able to present results to non-technical audience
o Excellent leadership and mentoring skills
o Attention to detail. Be a detective to identify and fix database problems and data quality
o Creativity in solving problems; think inside and outside the box to connect dots
o Positive and can-do attitude yet humble; get excited about learnings and challenging work
o Ability to abstract general principles from specifics

• Bachelor’s degree in computer science, computer engineering, or relevant fields
• Minimum 3+ years of experience – A plus in finance/banking/Insurance sector or consulting company
• Outstanding problem solver, keen with attention to details, and curious in nature to overcome challenges
• Strong knowledge of database structure systems and data mining, as stated in the following
• Experience with programming languages: SQL, T-SQL, Python
• Experience with Hadoop and big data tools like Spark, and Hive will be highly desirable
• Familiarity with ETL and data warehousing tools such as Talend, Airflow, SSIS, Informatica
• Familiarity with common database systems
o Relational Databases (RDMS): Postgres, MySQL, Oracle, MS SQL Server
o Cloud computing and database: Redshift, Azure SQL Database, Amazon S3, etc.
o NoSQL Databases: MongoDB, Cassandra, HBase, etc.
o Big Data: Hadoop, Spark, MapReduce, Hive, and Pig, and other Big Data Stacks
o Graph Database: Neo4j, Amazon Neptune, Redis, etc.
o Strong desire to establish standards of best practice, automation workflow and framework
o Soft and interpersonal skills:
o Great communication skills; able to present results to non-technical audience
o Excellent leadership and mentoring skills
o Attention to detail. Be a detective to identify and fix database problems and data quality
o Creativity in solving problems; think inside and outside the box to connect dots
o Positive and can-do attitude yet humble; get excited about learnings and challenging work
o Ability to abstract general principles from specifics

• Bachelor degree or higher in relevant subjects such as software engineering, data engineering, computer science, statistics, economics, finance, mathematics or related fields
• Previous experience as a Big Data Engineer/Hadoop Developer – A plus if it is in the finance/banking/Insurance sector or consulting company
• Advanced knowledge of the Hadoop ecosystem and its components.
• In-depth knowledge of Hive, HBase, and Pig. Familiarity with MapReduce and Pig Latin Scripts.
• Experience with programming languages: SQL, T-SQL, Python
• Experience with data analytics and visualization tools like MS Power BI, Google Data Studio, Tableau, Grafana, Apache Superset, etc.
• Familiarity with common database systems
o Relational Databases (RDMS): Postgres, MySQL, Oracle, MS SQL Server
o Cloud computing and database: Redshift, Azure SQL Database, Amazon S3, etc.
o NoSQL Databases: MongoDB, Cassandra, HBase
o Graph Database: Neo4j, Amazon Neptune, Redis, etc.
o Strong desire to establish standards of best practice, automation workflow and framework
o Soft and interpersonal skills:
o Great communication skills; able to present results to non-technical audience
o Excellent leadership and mentoring skills
o Attention to detail. Be a detective to identify and fix database problems and data quality
o Creativity in solving problems; think inside and outside the box to connect dots
o Positive and can-do attitude yet humble; get excited about learnings and challenging work
o Ability to abstract general principles from specifics