Data Engineer

Arbeit Infotech; Jakarta Selatan; On-site; IDR 400,000,000 - 800,000,000; Full time

Job summary

Arbeit is an IT-driven, innovation-focused consulting firm recruiting a Data Engineer to design and maintain scalable ETL/ELT pipelines. You will consolidate diverse data sources into centralized data lakes and warehouses and work with BI, Data Science, and analyst teams to deliver clean, modeling-ready datasets.

The role requires a Bachelor's in Computer Science/Information Systems/Informatics, at least 2 years as a Data Engineer, and strong Python/SQL skills with Spark, Hadoop, Kafka, and AWS.

Qualifications

• 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

Skills

Python

SQL

Airflow

Spark

Hadoop

Kafka

Data Lakehouse

Iceberg

AWS

CI/CD

Git

ETL/ELT

Education

Bachelor's degree in Computer Science, Information Systems, or Informatics

Tools

S3

Redshift

Glue

EC2

EKS

GitHub/GitLab

Jenkins

Job description

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

Unlock job insights

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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.