Data Engineer Specialist

Bank Mega; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A financial institution in Jakarta is seeking a Data Engineer Specialist to design and build data pipelines, ensuring data quality and compliance. The ideal candidate has a Bachelor's or Master's degree in Computer Science and at least 3 years of experience in data engineering, with proficiency in SQL and programming languages like Python or Java. This role offers opportunities for professional growth in a dynamic environment.

Qualifications

• Minimum 3 years of experience in data engineering.
• Strong experience with ETL/ELT tools.
• Deep understanding of data warehouse and lake architectures preferred.

Responsibilities

• Design and build data pipelines and ETL processes for data warehouse/data lake.
• Monitor, troubleshoot, and optimize data pipelines.
• Implement data governance, security, and compliance best practices.

Skills

SQL

Python

Java

Data governance

Data modeling

ETL processes

Data quality assurance

Communication skills

Education

Bachelor's or Master's degree in Computer Science, Information Systems, or related field

Tools

Pentaho

Apache Airflow

Talend

Informatica

NiFi

Apache Kafka

Spark Streaming

Flink

SQL Server

PostgreSQL

Oracle

MySQL

DB2

Job description

We're looking for a talented and passionate individual to fill the role of Data Engineer Specialist with following details

Responsibilities

• Design and build data pipelines and ETL processes for data warehouse/data lake.
• Design data models and schemas based on business and analytics requirements.
• Ensure data quality, consistency, and timely delivery across systems.
• Monitor, troubleshoot, and optimize data pipelines.
• Implement data governance, security, and compliance best practices in data pipelines.
• Stay current with emerging data technologies and recommend improvements.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
• Minimum 3 years of experience in data engineering.
• Proficiency in SQL and one or more programming languages such as Python or Java.
• Strong experience with ETL/ELT tools (e.g., Pentaho, Apache Airflow, Talend, Informatica, or NiFi).
• Deep understanding of data warehouse and lake architectures (preferred if experienced in Snowflake or BigQuery).
• Experience with streaming and real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink).
• Experience with RDBMS (SQL Server, PostgreSQL, Oracle, MySQL, DB2).
• Strong communication skills with technical and non-technical teams.
• Preferred experience in SysOps of Data Tools.