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ETL specialist performing extract, transform, load operations, data modeling, and data quality query testing on large datasets, while monitoring ETL processes and defining data migration best practices.
This internship role involves assisting with user onboarding for Elasticsearch and BI tools, processing anomaly logs, and supporting the creation of data dashboards for business decision-making.
Design, implement, and maintain IT infrastructure and data platforms—including servers, storage, virtualization, networking, cloud, and ETL/ELT data pipelines—while ensuring high availability, security, and performance for business stakeholders.
Design, build, and optimize data pipelines and models for BI and analytics in a cloud environment, collaborating with cross-functional teams in Jakarta.
Data analyst developing and maintaining SQL queries for data extraction, transformation, and analysis, creating dashboards and reports for stakeholders, and collaborating with cross-functional teams in Indonesia.
Senior Data Engineer building batch, real-time, and event-driven ETL pipelines on AWS using Flink, Airflow, Spark, Kafka, and Trino for Grab's Lending Data Engineering team in Jakarta.
The Data Architect/Engineer will own and operate an AWS-based data hub and Customer Data Platform, managing end-to-end data ingestion, identity resolution, and cross-cloud pipelines between Azure and AWS. The role involves building ETL pipelines, ensuring data security and compliance, and collaborating on BI reporting and AI-driven personalization.
The Data Engineer will manage large datasets, automate data pipelines, and build BI dashboards using tools like Looker, Power BI, or Tableau. This is a one-year contract role focused on supporting business decision-making through data quality and reporting.
The AI Software & Data Engineer will design, train, and deploy end-to-end AI/ML solutions, including computer vision and generative AI models. The role involves managing the full lifecycle from data preparation and model development to backend API integration and deployment.
Senior Data Engineer focused on data quality, governance, and data warehouse architecture to support BI and reporting. Day to day involves automating workflows with Airflow and collaborating with analysts and cross-functional teams in Jakarta.
The Data Engineer will design and optimize data pipelines, manage data ingestion, and build analytics solutions using SQL, Power BI, SSRS, and Google BigQuery. The role involves collaborating with IT and analytics teams to ensure high-quality, scalable data infrastructure.
The Analytics Engineer will design and maintain dbt models on BigQuery to transform raw data into trusted datasets for analytics and ML. This role involves ensuring data quality, collaborating with stakeholders, and optimizing data pipelines within a fintech environment.
The Data Analytics Engineer will develop SQL and Python-based ETL processes, handle regulatory reporting, and automate tasks to provide analytical insights for the fintech business. The role requires fluency in Mandarin and collaboration with cross-functional teams in Jakarta.
The Cloud Data Engineer will design and manage cloud-based data solutions for banking clients using Google Cloud Platform. The role focuses on building and orchestrating data pipelines using Python, SQL, Apache Airflow, and BigQuery.
The Data Analytics Engineer will develop SQL and Python-based ETL processes, automate regulatory reporting, and provide analytical insights to support business decision-making in a fintech environment.
The Cloud Data Engineer will design and manage cloud-based data solutions for the banking sector using GCP, BigQuery, and Airflow. The role involves developing ETL/ELT pipelines and optimizing SQL queries to ensure reliable data architecture.
The Fullstack Developer will build and maintain web applications using Java, Spring Boot, and AngularJS. The role requires experience with SQL databases and version control tools like Git.
The Full Stack Engineer will develop internal web applications, design databases, and build REST APIs using Vue and Golang. The role involves working with Docker, Kubernetes, and Jenkins CI/CD pipelines in an innovative IT environment.
The Senior Full-Stack Engineer will design and maintain scalable applications for a large user base, collaborating with cross-functional teams. The role requires expertise in Next.js and mobile API development.
Maintain and develop a custom HRIS platform (employee data, payroll, attendance, leave, reporting) using a Node.js/Express REST API backend and Vue.js 3 frontend, deployed with Docker on Linux across multiple sites in Indonesia.
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