
Data Engineer for Banking Project
Teknologi Informasi & KomunikasiNTT INDONESIA TECHNOLOGY
Jakarta Pusat - On-site Full-time
Gaji tidak dicantumkan
Deskripsi Pekerjaan
- Job Responsibilities:
- - Design, build, and maintain reliable data pipelines and ETL/ELT processes.
- - Integrate data from various internal and external sources into data platforms or data warehouses.
- - Develop and optimize SQL queries, data models, and transformation processes.
- - Monitor data workflows, troubleshoot job failures, and ensure data accuracy and completeness.
- - Collaborate with Data Analysts, Developers, Business Users, and other stakeholders to support data requirements.
- - Support data migration, reporting, analytics, and system integration initiatives.
- - Implement data quality checks, documentation, and best practices for data governance and security.
- - Work on cloud-based data solutions, preferably using AWS services.
Kualifikasi
- Requirements:
- - Minimum 3–4 years of experience as a Data Engineer, ETL Developer, or similar role.
- - Bachelor's degree or equivalent
- - Strong experience with ETL/ELT tools, data integration, data pipelines, and data warehousing.
- - Proficient in SQL and familiar with relational databases.
- - Experience with cloud services, preferably AWS (e.g., S3, Glue, Redshift, EMR, Lambda, or related services).
- - Familiar with data modeling, data quality, performance optimization, and batch/scheduled jobs.
- - Understanding of banking data, security, governance, and regulatory requirements is a plus.
- - Experience working in banking, financial services, or other regulated industries is preferred.
- - Good analytical, troubleshooting, and communication skills.
Kualifikasi
- Requirements:
- - Minimum 3–4 years of experience as a Data Engineer, ETL Developer, or similar role.
- - Bachelor's degree or equivalent
- - Strong experience with ETL/ELT tools, data integration, data pipelines, and data warehousing.
- - Proficient in SQL and familiar with relational databases.
- - Experience with cloud services, preferably AWS (e.g., S3, Glue, Redshift, EMR, Lambda, or related services).
- - Familiar with data modeling, data quality, performance optimization, and batch/scheduled jobs.
- - Understanding of banking data, security, governance, and regulatory requirements is a plus.
- - Experience working in banking, financial services, or other regulated industries is preferred.
- - Good analytical, troubleshooting, and communication skills.
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