Data Engineer for Banking Project
Role overview
Deskripsi pekerjaan
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.
Tanggung jawab
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.
Yang perlu disiapkan
Job 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.
Tools
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