Data Engineer

SEVEN Retail; Daerah Khusus Ibukota Jakarta; On-site; IDR 120.000.000 - 180.000.000; Full time

Job summary

A leading company in the retail sector is seeking a Data Engineer to set up and enhance structured data pipelines for their omnichannel approach. This role involves designing data architectures, integrating multiple platforms, and leveraging data for strategic decision-making. The ideal candidate should have 1-3 years of experience in data engineering, proficiency in SQL and Python, and a deep understanding of cloud environments like Google Cloud Platform.

Qualifications

• 1-3 years of experience in data engineering or cloud computing.
• Hands-on experience with Google Cloud Platform or similar providers.
• Strong understanding of BigQuery and ETL pipelines.

Responsibilities

• Design and implement data structures in BigQuery and cloud environments.
• Integrate data from sources like CRM and Learning Management Systems.
• Develop APIs and automation processes for efficient data flow.

Skills

SQL

Python

Data Visualization

Data Engineering Best Practices

ETL Pipelines

Tools

Google Cloud Platform

BigQuery

Metabase

Superset

Google Data Studio

Job description

Job Overview:
The focus is on setting up and maintaining structured data pipelines for the Montessori Gym’s omnichannel ecosystem. This role involves designing data architecture, integrating multiple platforms, and enabling efficient data-driven decision-making.

Job Description:
- Design and implement data structures in BigQuery and other cloud-based environments.
- Integrate data from multiple sources, including CRM, Learning Management System (LMS), Google Spreadsheets, and ad platforms like TikTok, Meta, and Google Ads.
- Develop APIs and automation processes to streamline data flow across existing systems.
- Build and maintain dashboards using services like Metabase, Superset, Google Data Studio, or similar tools.
- Optimize raw data storage and transformation to support advanced manual analysis.
- Ensure data accuracy, security, and compliance across all touchpoints.

Job Requirements:
- 1-3 years of experience in data engineering, cloud computing, or related roles.
- Understand and can implement data engineering best practices.
- Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.
- Strong understanding of BigQuery, Big Data processing, and ETL pipelines.
- Experience working with APIs and integrating multiple data sources.
- Proficiency in SQL, Python, or other relevant scripting languages.
- Familiarity with data visualization tools like Metabase, Superset, or Google Data Studio.
- Ability to work independently and structure data ecosystems from scratch.