Data Engineer

SEVEN Retail; Daerah Khusus Ibukota Jakarta; On-site; IDR 12.000.000 - 20.000.000; Full time

Job summary

A growing tech company in Jakarta seeks a Data Engineer to set up and maintain structured data pipelines. You'll design data architecture and integrate multiple platforms to enhance data-driven decision-making. Ideal candidates have 1-3 years of experience, strong SQL and Python skills, and familiarity with Google Cloud Platform. Join a dynamic environment that prioritizes data accuracy and efficient workflows.

Qualifications

• 1-3 years of experience in data engineering or related roles.
• Hands-on experience with Google Cloud Platform.
• Strong understanding of ETL pipelines and big data processing.

Responsibilities

• Design and implement data structures in BigQuery.
• Integrate data from various sources like CRM and LMS.
• Build and maintain dashboards for data visualization.

Skills

Data engineering best practices

SQL

Python

BigQuery

Data visualization

Tools

Google Cloud Platform (GCP)

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.