Senior Data Engineer

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

2+ 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

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

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