Data Engineer

Pt Kalbe Farma, Tbk; Jawa Barat; Hybrid; IDR 350,000,000 - 550,000,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

Professional development opportunities

Collaboration with data team

Job summary

Pt Kalbe Farma, Tbk in Depok is seeking a Data Engineer to design, build, and maintain scalable data pipelines and big data platforms that empower data scientists and analysts to derive insights.

This hybrid role allows collaboration with a talented data team and remote work flexibility, while ensuring availability, reliability, and performance of our data infrastructure to support critical business decisions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong proficiency in SQL and experience with at least one programming language (e.g., Python, Scala, Java).
• Hands-on experience with big data technologies like Apache Spark, Hadoop, Kafka, or similar.
• Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Data Lake).
• Familiarity with data warehousing concepts and ETL/ELT best practices.

Responsibilities

• Design, construct, install, and maintain robust, scalable data pipelines and ETL/ELT processes.
• Develop and optimize data models for big data technologies and databases (e.g., Hadoop, Spark, Kafka).
• Ensure data accuracy, integrity, and consistency across data systems.
• Collaborate with data scientists, analysts, and stakeholders to understand data needs and deliver solutions.
• Implement data warehousing solutions and support data governance initiatives.
• Monitor data pipeline performance, troubleshoot issues, and optimize.

Skills

SQL

Python

Scala

Java

Apache Spark

Hadoop

Kafka

AWS Redshift

BigQuery

Azure Data Lake

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Apache Spark

Hadoop

Kafka

Job description

Our client is seeking a proficient Data Engineer to join their data-intensive operations in Depok . You will be responsible for designing, building, and maintaining scalable big data platforms and pipelines that enable data scientists and analysts to derive insights. This hybrid role offers the opportunity to work closely with a talented data team while enjoying the flexibility of remote work. You will play a crucial role in ensuring the availability, reliability, and performance of our client's data infrastructure, supporting critical business decisions.

About the Role

Our client is seeking a proficient Data Engineer to join their data-intensive operations in Depok . You will be responsible for designing, building, and maintaining scalable big data platforms and pipelines that enable data scientists and analysts to derive insights. This hybrid role offers the opportunity to work closely with a talented data team while enjoying the flexibility of remote work. You will play a crucial role in ensuring the availability, reliability, and performance of our client's data infrastructure, supporting critical business decisions.

Key Responsibilities

• Design, construct, install, and maintain robust, scalable data pipelines and ETL/ELT processes.
• Develop and optimize data models for various big data technologies and databases (e.g., Hadoop, Spark, Kafka).
• Ensure data accuracy, integrity, and consistency across all data systems.
• Collaborate with data scientists, analysts, and business stakeholders to understand their data needs and deliver solutions.
• Implement data warehousing solutions and support data governance initiatives.
• Monitor data pipeline performance, troubleshoot issues, and implement optimizations.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong proficiency in SQL and experience with at least one programming language (e.g., Python, Scala, Java).
• Hands‑on experience with big data technologies like Apache Spark, Hadoop, Kafka, or similar.
• Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Data Lake).
• Familiarity with data warehousing concepts and ETL/ELT best practices.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Hybrid work model providing a blend of in‑office and remote flexibility.
• Opportunities for professional development and learning new technologies.
• A collaborative environment focused on leveraging data for business impact.