Data Engineer: Build ETL Pipelines & Scale SQL Queries

PT Mandiri International Technology

Jakarta Utara

On-site

IDR 216,000,000 - 360,000,000

Full time

10 days ago

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Job summary

PT Mandiri International Technology is seeking a Data Engineer to develop and maintain data pipelines from multiple sources. You will perform ETL processes, optimize queries in Microsoft SQL Server, and ensure data quality while monitoring pipelines and collaborating with analysts and developers.

The role requires strong SQL, data integration, and cloud experience, plus a solid understanding of Big Data concepts.

Qualifications

  • Bachelor's degree in information technology, statistics, computer science, or related field.
  • Minimum 2 years of experience in data engineering or related area.
  • Proficient in SQL, data integration tools, and cloud environments.
  • Strong understanding of Big Data concepts and frameworks.
  • Excellent analytical, critical thinking, and problem-solving skills.

Responsibilities

  • Develop and maintain data pipelines from multiple data sources.
  • Perform ETL (Extract, Transform, Load) processes for data integration.
  • Process and manage large volumes of data efficiently.
  • Develop and optimize database queries using Microsoft SQL Server.
  • Monitor and troubleshoot data pipelines.
  • Collaborate with Data Analysts, Business Analysts, and Developers for data requirements.
  • Perform data validation and ensure data quality.
  • Create documentation for data pipeline and ETL processes.
  • Optimize pipeline performance and database queries.

Skills

SQL
ETL
Cloud computing
Big Data concepts
Analytical thinking
Problem solving

Education

Bachelor's degree in IT-related field

Tools

Microsoft SQL Server

Job description

PT Mandiri International Technology is seeking a Data Engineer to develop and maintain data pipelines from multiple sources. You will perform ETL processes, optimize queries in Microsoft SQL Server, and ensure data quality while monitoring pipelines and collaborating with analysts and developers.

The role requires strong SQL, data integration, and cloud experience, plus a solid understanding of Big Data concepts.

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