Sr. Data Engineer

Enterprise Digital Technology Services - EDTS View all jobs

• 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