Data Engineer Specialist

erdigma indonesia; Indonesia; On-site; IDR 200,000,000 - 350,000,000; Full time

Job summary

erdigma indonesia is seeking a Data Engineer Specialist to design, build, and maintain scalable data pipelines and architectures, enabling data-driven decision making across the organization.

You will collaborate with data scientists, analysts, and business teams to collect data, ensure quality, and implement ETL processes while staying current with evolving technologies.

This onsite role in Purbalingga requires strong programming, SQL, and cloud experience to deliver robust data solutions.

Qualifications

• Bachelor’s degree in CS, IS, Engineering, or related field.
• Proven experience as a Data Engineer with data pipeline development expertise.
• Proficiency in Python, Java, or Scala.
• Strong SQL knowledge and experience with MySQL/PostgreSQL/NoSQL.
• Experience with cloud platforms (AWS, Google Cloud, or Azure).
• Familiarity with Hadoop, Spark, or Kafka is a plus.

Responsibilities

• Design, develop, and manage data pipelines to ensure efficient flow and processing of data from multiple sources.
• Build and optimize data architectures for both structured and unstructured data.
• Collaborate with data scientists and business teams to gather requirements and implement data solutions.
• Ensure data integrity, accuracy, and security via data validation and quality checks.
• Develop and maintain ETL processes to support data integration and warehousing.
• Optimize database performance by fine-tuning queries and storage solutions.
• Stay current with the latest data engineering technologies and best practices.

Skills

Data pipeline development

Python/Java/Scala

SQL

Cloud platforms (AWS/GCP/Azure)

Big data technologies (Hadoop, Spark,=

Data architecture design

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field

Tools

MySQL

PostgreSQL

NoSQL databases

Job description

About the Role

We are looking for a highly skilled Data Engineer Specialist to join our growing team. In this role, you will design, build, and maintain scalable data pipelines and architectures. You will work closely with data scientists, analysts, and business teams to ensure the efficient collection, storage, and processing of large volumes of data. This position plays a crucial role in enabling data-driven decision‑making within the organization.

Key Responsibilities

• Design, develop, and manage data pipelines to ensure the efficient flow and processing of data from multiple sources.
• Build and optimize data architectures for both structured and unstructured data.
• Collaborate with data scientists and business teams to gather requirements and implement data solutions.
• Ensure the integrity, accuracy, and security of data by performing regular data validation and quality checks.
• Develop and maintain ETL (Extract, Transform, Load) processes to support data integration and warehousing.
• Optimize database performance by fine‑tuning queries and ensuring efficient data storage solutions.
• Stay current with the latest data engineering technologies and best practices to continuously improve processes.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role, with strong expertise in data pipeline development.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong knowledge of SQL and experience working with databases such as MySQL, PostgreSQL, or NoSQL databases.
• Experience with cloud‑based data platforms such as AWS, Google Cloud, or Azure.
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.

Requirements

• Willingness to work onsite in Purbalingga.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Ability to work in a fast‑paced environment and handle multiple projects simultaneously.
• Excellent communication skills with the ability to collaborate effectively with technical and non‑technical stakeholders.
• Willingness to continuously learn and adapt to new tools and technologies.