รายละเอียดงานเบื้องต้น
Key responsibilities:
• Review and analyze existing data collection systems, and make recommendations on improvement, maintenance, or other factors to improve the system.
• Design and develop data pipeline for optimal extraction, transformation and loading of data from various data sources to support usage of data.
• Design and construct datasets that are easy to analyze and support business requirements.
• Ensure that implemented data systems have the relevant security.
• Perform data quality testing, validation, and assurance as a part of designing, and implementing scalable data solutions.
• Support identification, triage, and remediation of data quality issues across the data and technology organizations
• Effectively engage and partner with team members across data analytics, technology development, and business strategy to drive outcomes and impact.
• Ensure end user requirements of data solutions are effectively met.
• Develop user friendly documentation to communicate the use and value of data solutions.
• Identify and push forward process improvement opportunities and solutions.
• Review and keep up to date with developments in the data technology.
Education:
• B.S., M.S., or Ph.D. degree in Computer Science, Software Engineering, IT or related field.
Relevant experience required:
• 2+ years hands-on experience with data engineering or similar roles.
• Proficiency with one or more programming languages or data engineering frameworks, such as Python, SQL, Spark, Java, C++, TypeScript/JavaScript, or similar
• Proficiency with cloud services such as Google Cloud, AWS or Microsoft Azure
• Proficiency with data schema design and database system such as SQL Server, ProsgreSQL, MySQL or others
• Knowledge in data warehouse and ETL tools such as Apache Airflow
• Knowledge in Big Data system such as Hadoop, Data Lake.
• Ability to work well with cross-disciplinary teams.
• Communicate in English fluently.
😆 Our Benefits:
· Free lunch every Tuesday and Friday
· WFH/WFA (Work From Home/Work From Anywhere)
· Group insurance
· Retirement savings fund
· Well-stocked Snack Bar with snacks and beverages
· Dress in your own style at work
· Annual vacation 15 days
📍 Location: Gaysorn Tower, near BTS Chidlom