Senior Data Engineer: Build Scalable Data Pipelines

PT. HAND Solutions Indonesia; Jakarta Pusat; On-site; IDR 843.028.000 - 1.180.240.000; Full time

Job summary

A leading tech company in Jakarta Pusat seeks a Data Engineer to build and maintain ETL/ELT pipelines. The role involves designing robust database systems, ensuring data quality, and optimizing data infrastructure. Candidates should have a background in programming languages such as Python, SQL, or Java, and familiarity with big data technologies like Apache Spark and Hadoop. This is an excellent opportunity to work in a collaborative environment with data scientists and analysts.

Qualifications

• 3+ years of experience in data engineering or software development.
• Background in programming languages such as Python, SQL, or Java.
• Familiarity with big data technologies like Apache Spark, Hadoop, and Kafka.

Responsibilities

• Build and maintain ETL/ELT pipelines.
• Design and manage robust database systems.
• Implement data quality improvement methods.
• Monitor performance and optimize data infrastructure.
• Collaborate with data scientists and analysts.

Skills

Proficiency in Python

Proficiency in SQL

Proficiency in Java

Experience with Apache Spark

Experience with Hadoop

Experience with Kafka

Familiarity with AWS

Familiarity with Google Cloud Platform

Familiarity with Azure

Expertise in relational databases

Expertise in NoSQL databases

Strong understanding of data modeling

Strong understanding of warehousing

Strong understanding of schema design

Familiarity with data governance

Familiarity with security policies

Familiarity with privacy policies

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Technology

Bachelor’s degree in Applied Mathematics

Job description

A leading tech company in Jakarta Pusat seeks a Data Engineer to build and maintain ETL/ELT pipelines. The role involves designing robust database systems, ensuring data quality, and optimizing data infrastructure. Candidates should have a background in programming languages such as Python, SQL, or Java, and familiarity with big data technologies like Apache Spark and Hadoop. This is an excellent opportunity to work in a collaborative environment with data scientists and analysts.