- Design and implement ETL/ELT pipelines to process retail transaction data - Build and maintain data warehouses using our self-hosted infrastucture - Develop automated monitoring systems and data quality checks  - Build and implement new solutions to help improve the working process and efficiency across analytics functions and business intelligence  - Collaborate with Data Analyst and business stakeholders to understand data requirements for reporting and analytics - Optimize database performance and query efficiency for large-scale datasets - Create and maintain documentation for data processes and systems - Support daily data processing workflows for customer analytics - Identify the root cause and provide a solution to resolve the problem. - Help build data products that provide FMCG companies with market penetration, demand patterns, and distribution insights.

- Bachelor's degree in Computer Science, Engineering, or related field - Strong programming experience in Python - 1-3 years of experience with SQL and database management - Understanding of data modeling concepts - Experience with version control (Git) - Strong problem-solving and analytical thinking skills - Detail-oriented and enjoy building from the ground up - Sense of ownership - Good command in English - Experience with retail/e-commerce data - Experience with data modeling, warehousing and building ETL pipelines - Knowledge of data pipeline tools (Prefect, dbt, Airflow) - Familiarity with data visualization tools (Tableau, Superset, Power BI) - Familiarity with cloud platforms (AWS, Azure, or GCP) - Fresh graduates are welcome