Data Engineer

Folkatech; Jakarta Pusat; On-site; IDR 180,000,000 - 320,000,000; Full time

Job summary

Folkatech is hiring a Data Engineer to design, build, and maintain data pipelines powering analytics. You will work with data analysts, backend engineers, and product teams to ensure data accessibility and performance across the organization.

The role emphasizes ETL/ELT pipelines, data modeling, and data governance, with cloud deployments (AWS, GCP, Azure) and collaboration across cross-functional teams. On-site Jakarta-based, project-based arrangement.

Qualifications

• Bachelor’s degree in CS/DE/IS or related field.
• 3 years of data engineering or backend data experience.
• Strong SQL plus Python or Go proficiency.
• Hands-on with data pipeline tools (Airflow, Prefect, Luigi).
• Experience with cloud data warehouses (BigQuery, Redshift, Snowflake, Synapse).
• Understanding of data modeling, ETL design, data architecture.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines.
• Build and optimize data models and data warehouses.
• Integrate data from databases, APIs, and third-party sources.
• Ensure data quality, reliability, and scalability.
• Collaborate with stakeholders to define data requirements.
• Implement data governance, documentation, and version control.
• Work with DevOps to deploy data solutions in cloud environments.
• Troubleshoot and optimize pipelines for performance and cost.

Skills

SQL

Python

Go

Data modeling

ETL design

Data architecture

Agile/Scrum

Problem solving

Communication

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Airflow

Prefect

Luigi

BigQuery

Redshift

Snowflake

Azure Synapse

Tableau

Docker

Kubernetes

dbt

Terraform

Kafka

Cloud platforms

Job description

We are seeking a skilled Data Engineer to design, build, and maintain reliable data pipelines and infrastructure that power our analytics and business intelligence systems.

You will collaborate closely with data analysts, backend engineers, and product teams to ensure data accuracy, accessibility, and performance across the organization.

Key Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming structured and unstructured data.
• Build and optimize data models and data warehouses to support analytics and reporting needs.
• Integrate data from multiple sources (databases, APIs, third-party platforms) into centralized storage systems.
• Ensure data quality, reliability, and scalability through validation and monitoring.
• Collaborate with stakeholders to define data requirements and deliver meaningful datasets.
• Implement data governance, documentation, and version control best practices.
• Work closely with DevOps to deploy data solutions in cloud environments (AWS, GCP, Azure).
• Troubleshoot and optimize data pipelines for performance and cost efficiency.

Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 3 years of experience in data engineering or backend data-related roles.
• Strong proficiency in SQL and one or more programming languages such as Python or Go.
• Hands‑on experience with data pipeline tools (Airflow, Prefect, Luigi, or similar).
• Experience with cloud data warehouses (BigQuery, Redshift, Snowflake, or Azure Synapse).
• Solid understanding of data modeling, ETL design, and data architecture principles.
• Familiarity with Docker, Kubernetes, and CI/CD workflows.
• Hands‑on experience with Tableau.
• Experience with streaming technologies (Kafka, Pub/Sub, Kinesis) is a plus.
• Knowledge of data security, access control, and governance standards.
• Experience working with Golang/Node JS for data processing or backend systems.(Nice to have)
• Familiarity with dbt (data build tool) or Terraform.(Nice to have)
• Exposure to machine learning pipelines or collaboration with Data Scientists.(Nice to have)
• Experience in Agile/Scrum environments.
• Analytical and detail-oriented, with strong problem-solving skills.
• Ability to translate business requirements into technical data solutions.
• Excellent communication and collaboration skills.
• Continuous learner with a growth mindset and proactive attitude.
• Willing to work on-site in Jakarta under a Project Based contract arrangement