What You Will Do: Design, build, and maintain robust and scalable data pipelines using tools such as Apache Airflow, Python and SQL Develop, build, Dashboard , Report using BI Tools : Looker, Looker Studio, Power BI, Metabase Develop and optimize data architecture and data models to support business intelligence, analytics needs Collaborate with business user, data scientists, analysts, and software engineers to understand data requirements and ensure smooth data flow Implement data quality checks, logging, monitoring, and alerting for pipeline health Manage and optimize cloud-based data infrastructure (e.g., GCP, AWS, or Azure) Ensure data governance, security, and compliance best practices are followed Mentor junior data engineers and contribute to knowledge sharing within the team Stay up-to-date with industry best practices and emerging technologies in big data and analytics Kualifikasi Person We Are Looking For: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Min.

3 years of experience in data engineering or software engineering roles Strong proficiency in SQL and Python Experience with modern data tools and frameworks: Spark, Airflow, Kafka, DBT, etc Hands-on experience with cloud platforms (e.g., GCP BigQuery, AWS Redshift, or Azure Synapse) Deep understanding of data modeling, ETL/ELT design, and data warehousing concepts Has experience in migration datawarehouse from onpremise to cloud is a plus Solid grasp of CI/CD and DevOps practices for data systems Strong problem-solving and communication skills Certified Data Engineer Professional at any cloud is a plus Full WFO at Wisma 46, Jakarta Pusat