Associate Data Engineer - BI Dashboards & SQL Automation

EDTS

Jakarta Pusat

On-site

IDR 180,000,000 - 300,000,000

Full time

14 days+

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Job summary

EDTS is seeking a Data Engineer to build and optimize SQL queries for ad-hoc BI needs and to automate data pipelines. You will design interactive dashboards and reports, monitor data quality, and collaborate across teams to ensure accurate analytics.

The role emphasizes hands-on SQL, Python scripting, and cloud-aware data warehousing. Ideal candidates have a Bachelor's degree in a related field, at least 1 year of experience in data engineering, and familiarity with BI tools such as Looker or

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
  • Min. 1 year experience as Data Engineer.
  • Proficiency in Python for data manipulation, automation, and pipeline development.
  • Solid understanding of SQL and relational databases (PostgreSQL, MySQL, SQL Server).
  • Familiarity with ETL concepts and data warehousing; basic cloud knowledge (GCP or AWS).

Responsibilities

  • Create SQL queries to deliver ad-hoc BI requirements and optimize data systems.
  • Write and optimize SQL queries to access and manipulate large datasets.
  • Create BI mechanisms (interactive reports, dashboards, alerts, scheduled emails) using available BI tools like Looker/Power BI.
  • Monitor data quality and troubleshoot data issues; ensure data accuracy and integrity.

Skills

Python
SQL
ETL concepts
Data visualization
Cloud services

Education

Bachelor’s degree in CS/IS/Engineering

Tools

PostgreSQL
MySQL
SQL Server

Job description

EDTS is seeking a Data Engineer to build and optimize SQL queries for ad-hoc BI needs and to automate data pipelines. You will design interactive dashboards and reports, monitor data quality, and collaborate across teams to ensure accurate analytics.

The role emphasizes hands-on SQL, Python scripting, and cloud-aware data warehousing. Ideal candidates have a Bachelor's degree in a related field, at least 1 year of experience in data engineering, and familiarity with BI tools such as Looker or

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