Create SQL queries to deliver ad-hoc BI requirement
Contribute to automation, performance tuning, and optimization of data systems
Write and optimize SQL queries to access and manipulate large datasets
Create various forms of actionable BI mechanism (interactive reports, dashboard, alerts, scheduled email report, etc.) using any available BI tools (e.g. Spreadsheets, Looker BI, etc.)
Understand customer business flow
Monitor data quality and troubleshoot data issues
Aware of important customer business metrics
Able to perform basic (select, join, conditions, etc.)
Collaborate with cross-functional teams to gather requirements and ensure data accuracy and integrity
Requirements
Person We Are Looking For:
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
Min. 1 year experience as Data Engineer
Proficiency in Python for data manipulation, automation, and pipeline development
Solid understanding of SQL and relational database systems (e.g., PostgreSQL, MySQL, SQL Server)
Familiarity with ETL concepts and data warehousing.
Basic knowledge of cloud services such as Google Cloud or AWS
Exposure to data visualization tools (Power BI, Tableau, Looker)
Basic understanding of big data frameworks (Spark, Hadoop)
Good analytical and problem-solving abilities
Attention to detail in working with large and complex datasets.
Team collaboration skills, with the ability to work effectively with data analysts, engineers, and business teams.
