Data Engineer
Design, develop, and maintain ETL/ELT pipelines and data integration workflows using tools such as ODI, Datastage, Talend, or Pentaho
Build and optimize data warehouse solutions to support analytics and reporting needs across the bank
Ensure data quality, security, and governance compliance aligned with banking and regulatory standards
Develop and maintain data models, metadata, and documentation to ensure transparency and traceability
Collaborate with other teams to deliver consistent and reliable datasets
Perform data validation, performance tuning, and troubleshooting of complex data processes
Implement data monitoring and alerting mechanisms to ensure system reliability and performance
Participate in designing and implementing data solutions in on-premise or cloud-based environments
Contribute to process automation and continuous improvement initiatives in data engineering practices
Bachelor's Degree (S1) in any major, with experience in the IT field
Have 1–3 years of experience as a Data Engineer
Proficient in one or more ETL tools such as Oracle Data Integrator (ODI), IBM DataStage, Talend, or Pentaho
Have experience working with SQL Query, Python, R, Apache Airflow, SSIS, AWS, Databricks, or Azure Data Factory
Experience with major relational database systems, including MySQL, PostgreSQL, MS SQL Server, Oracle, and DB2
Experience working with Data Warehouse architecture, dimensional modeling, and data integration processes
Experience working with Big Data platforms and distributed processing frameworks (e.g., Hadoop, Spark, Hive, or Kafka)
Experience developing and integrating SOAP web services and RESTful APIs
Familiar with cloud-based data platforms and services such as AWS, Azure, or Google Cloud Platform (GCP)
Understanding of data governance, data quality, data lineage, and metadata management concepts
Experience using Git or other version control systems
Experience working with Agile Software Development methodologies (e.g., Scrum or Kanban)
Understanding of the Software Development Life Cycle (SDLC)
Strong analytical and problem-solving skills with the ability to optimize data pipelines and troubleshoot data issues
Willing to join immediately and work onsite in Bandung