Analytics Engineer
PT Bumi Amartha Teknologi Mandiri
- Central Jakarta
- Permanent
- Full-time
- Translate complex business logic into tested, version-controlled data models and marts that enable self-service analytics
- Build and maintain scalable ELT pipelines in SQL, Python, and Java across Azure Cloud Platform, Google Cloud Platform, and on-prem sources
- Orchestrate batch and streaming workflows to deliver low-latency financial data
- Implement CI/CD and infrastructure-as-code with Git/Bitbucket, Terraform, and Helm for repcatable, augitable deployments
- Enforce data quality, lineage, encryption, masking, and RBAC throughout the data-lifecycle
- Develop and optimise Tableau dashboards and other BI assets, ensuring KPIs align with business definitions
- Partner with data scientists, analysts, and product teams to frame experiments and deliver actionable insights
- Tune warehouse performance-partitioning, clustering, caching-to minimise cost and latency
- Maintain comprehensive documentation, metadata catalogues, and data-lineage assets for audit and compliance
- Continuously evaluate and adopt emerging data-engineering practices (dbt, DalaOps, Gen AI) Lo raise team productivily
- 3-5 years building data models and pipelines in cloud or hybrid environments
- Advanced SQL plus proficiency in one of programming language: Python and Java/Scala
- Hands-on expertise with Cloud Datawarehouse, non-relational databases, and relational databases
- Production experience creating Airflow DAGs and designing Spark/Flink streaming jobs
- Proven competence with CI/CD, Git, Terraform, Helm, Docker, and Kubernetes
- Deep understanding of data governance, security, and privacy controls (encryption, masking, RBAC) for regulated industries
- Excellent communication and stakeholder-management skills; able to translate technical concepts into business impact
Kalibrr