Sr. Data Engineer
Summary
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, and cloud data warehouses to support analytics and BI needs.
Enterprise Digital Technology Services - EDTS Lihat semua lowongan kerja
- Design, build, and maintain robust and scalable data pipelines using tools such as Apache Airflow, Python and SQL
- 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
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
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