Data Engineer

PT Prodia Widyahusada Tbk; Daerah Khusus Ibukota Jakarta; On-site; USD 15.000 - 25.000; Full time

Job summary

A leading company in the data management sector is seeking a Data Engineer to manage data pipelines and enhance functionalities. The role requires a Bachelor's degree in Informatics Engineering or related fields, along with programming skills in Python, Java, or Scala. The ideal candidate will have experience in data modeling and ETL development, contributing to the company's data management and analysis efforts.

Qualifications

• Minimum GPA of 3.00 on a 4.00 scale.
• At least 1 year of experience with data modeling, ETL development, and data warehousing.
• Familiarity with unstructured databases and structured databases.

Responsibilities

• Managing data pipelines from various data sources.
• Developing, modifying, and enhancing functionalities within the data pipeline.
• Documenting ETL designs and ensuring responsible data handling.

Skills

Python

Java

Scala

ETL tools

APIs

Data modeling

Data warehousing

Big Data

Business Intelligence

English communication

Education

Bachelor's Degree in Informatics Engineering

Bachelor's Degree in Information Systems

Bachelor's Degree in Computer Science

Tools

HDFS

MongoDB

Oracle

MySQL

MS SQL

PostgreSQL

Windows

Linux

IRIS database

Job description

Data Engineer Job Description

We are seeking a Data Engineer responsible for managing data pipelines from various data sources. The role involves developing, modifying, improving, and enhancing functionalities within the data pipeline, as well as documenting ETL designs.

The ideal candidate will ensure responsible handling of user-requested data and transfer knowledge related to data management and analysis.

Minimum Qualifications

1. Bachelor's Degree in Informatics Engineering, Information Systems, or Computer Science.
2. Minimum GPA of 3.00 on a 4.00 scale.
3. At least 1 year of experience with data modeling, ETL development, and data warehousing.
4. Skills in programming languages such as Python, Java, or Scala, along with queries, ETL tools, and APIs.
5. Familiarity with unstructured databases, HDFS, MongoDB, and structured databases like Oracle, MySQL, MS SQL, and PostgreSQL.
6. Experience with Windows and Linux servers.
7. Experience in Big Data and Business Intelligence is advantageous.
8. Familiarity with IRIS database is a plus.
9. Proficiency in English communication.