In this role, you will design and maintain end-to-end ELT pipelines, develop analytics-ready data models, and work closely with Analytics, Product, and Business teams to ensure
that dashboards and KPIs are accurate, trusted, and scalable. You will be responsible not only for moving data, but also for shaping how data is structured, interpreted, and
consumed.
Working arrangement:
Gading Serpong, South Tangerang.
Responsibilities
- Build, maintain, and construct scalable data pipelines from various data sources.
- Implement ELT/ETL processes using modern data tools
- Able to design, develop and deliver features improvement related to the data warehouse and analytics.
- Ensure data quality, data validation, and monitoring across pipelines
- Work closely with the analytics and product team to build and maintain the whole data analytics platforms.
- Build analytics-ready data models and support dashboard development by ensuring data accuracy, performance, and semantic consistency.
- Monitoring data infrastructure reliability, performance, and cost.
Qualifications
- Minimum Education Level : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
- Years of experience: 3+ years of experience in Data Engineering, Analytics Engineering, or Analytics teams
Mandatory Skills
- Proficiency in SQL/NoSQL and at least one programming language, (preferably Python)
- Strong knowledge data modeling, and database design, with experience in cloud-based data platforms (AWS, GCP, or Azure)
- Experience building and maintaining ETL/ELT pipelines, data processing and workflow orchestration tools (e.g : Airflow, DBT, kafka, CDC, etc )
- Experience working with BI and visualization tools (e.g., Metabase, Power BI, Tableau, Looker) to build, validate, and support business dashboards
- Ability to extract, transform, and integrate data from APIs, including Google Analytics and other semi-structured or unstructured data sources
Other Requirements
Experience with tracking and analytics implementation, such as Google Analytics via Google Tag Manager (GTM) for both web and mobile apps, is a strong plus
