Data Engineer

2-5 Years

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Early Applicant

Job Description

Design, build, and maintain scalable ETL/ELT data pipelines to process and transform large datasets.
Develop and optimize data models, data workflows, and database queries for performance and reliability.
Manage and maintain data infrastructure across cloud platforms.
Integrate data from multiple sources including databases, APIs, and streaming platforms.
Ensure data quality, integrity, and availability across systems.
Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to support data initiatives.
Troubleshoot and resolve data-related issues while continuously improving pipeline performance.

Minimum Qualifications

Bachelor's degree of Computer Science or related field.
25 years of experience in Data Engineering or a related role.
Strong programming skills in Python and advanced SQL.
Experience building and maintaining ETL/ELT pipelines.
Familiarity with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
Experience working with relational databases such as PostgreSQL or MySQL.
Basic knowledge of big data and streaming technologies (e.g., Apache Kafka).
Strong analytical and problem-solving skills with the ability to work collaboratively in a team environment.
Willing to work onsite in banking industry (Tangerang).