Data Engineer
Summary
Data Engineer based in Indonesia who designs, builds, and maintains scalable ETL/ELT pipelines into centralized data lakes/warehouses, partnering with BI and Data Science teams. Core stack: Python, SQL, Spark, Kafka, Airflow, Apache Iceberg, and AWS (S3, Redshift, Glue, EKS, Jenkins CI/CD) at an IT consulting firm serving telcos.
Requirements :
- Bachelor's (S1) in Computer Science, Information Systems, or Informatics
- Minimum 2 years experience as Data Engineer
- Strong proficiency in Python and SQL.
- Big Data & Architecture → Spark, Hadoop, Kafka, Data Lakehouse, and Apache Iceberg.
- Cloud & DevOps (AWS): S3, Redshift, Glue, EC2, EKS, Git (GitHub/GitLab), and CI/CD (Jenkins).
- Orchestration & Modeling: Apache Airflow, Data Warehousing, Dimensional Modeling (Star/Snowflake schema).
- Governance & Compliance: Data Contracts, Data Entropy (schema change management), and privacy laws (GDPR, UU PDP).
- Design, build, and maintain scalable ETL/ELT pipelines integrating multi-source data into centralized data lakes/warehouses.
- Partner with BI, Data Science, and Analyst teams to deliver clean, modeling-ready datasets.
- Optimize query performance, manage cloud storage/compute costs, monitor pipelines, and troubleshoot bottlenecks.
- Implement data validation/cleansing, maintain technical docs (schemas, data dictionaries), and enforce data security.
- Adhere to SOPs, HSE standards, audit remediations, risk controls, and drive continuous process improvements
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Information Technology Services 51-100 employees
Arbeit is an IT-driven, Innovation-obsessed Consulting Firm with years of unparalleled expertise at helping telcos and other telecom-connected enterprises achieve enviable success in their business.
Arbeit is an IT-driven, Innovation-obsessed Consulting Firm with years of unparalleled expertise at helping telcos and other telecom-connected enterprises achieve enviable success in their business.