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

Kualifikasi

• 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