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Hướng dẫn ứng tuyển
Bước 1: Điền vào Mẫu thông tin ứng viên LOTTE Finance, tải mẫu tại đây,
Bước 2: Chọn nút "Nộp đơn" bên trên và làm theo hướng dẫn.
Bước 3: Sau khi hoàn tất bước ứng tuyển, nếu đã ứng tuyển thành công, Bạn sẽ nhận được Thư xác nhận ứng tuyển thành công từ LOTTE Finance. Vui lòng đọc email để nắm các thông tin hướng dẫn tuyển dụng tại LOTTE Finance.
Chúc Bạn Sức khỏe và Thành công.
• Design and implement enterprise-grade data platforms, including data lakes, data warehouses, and real-time streaming systems.
• Build and manage data pipelines for ingestion, transformation, and integration from multiple internal and external sources.
• Optimize platform performance, reliability, and scalability for large data volumes and high concurrency.
• Define data architecture blueprints, standards, and reference implementations.
• Ensure data quality, consistency, lineage, and metadata management across the platform.
• Implement role-based access, encryption, and data protection to comply with regulatory standards (e.g., GDPR, local banking regulations).
• Collaborate with data governance and security teams to embed policies into the platform.
• Enable self-service analytics, BI, and AI/ML model deployment on the platform.
• Support data scientists, analysts, and business teams with high-quality, curated datasets.
• Integrate real-time data streaming and event-driven architectures for advanced use cases (fraud detection, credit scoring, personalized offers).
• Work with enterprise architects, solution architects, and data analysts to align platform capabilities with business priorities.
• Partner with software engineers, DevOps, and cloud engineers to deliver data-driven applications.
• Collaborate with product owners and business stakeholders to enable data monetization and innovation initiatives.
• Evaluate and implement new technologies, frameworks, and tools (e.g., lakehouse, data mesh, serverless data processing).
• Drive automation in data workflows, monitoring, and operations.
• Continuously improve performance, cost efficiency, and developer experience on the data platform.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 5+ years of experience in data engineering or platform engineering roles.
• Proven expertise in building and managing enterprise data platforms (data lakes, warehouses, or lakehouse).
• Strong hands-on experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark, Kafka, Flink).
• Proficiency in SQL and programming languages (Python, Java, Scala).
• Experience with modern data warehousing solutions (Snowflake, BigQuery, Redshift, Databricks).
• Knowledge of data governance, security, and regulatory compliance in financial services.
• Familiarity with CI/CD, DevOps, and infrastructure-as-code (Terraform, Kubernetes).
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Bình Thuận,Lâm Đồng
Hạn nhận hồ sơ: 01/10/2025
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Kết nối với chúng tôi. Vì sao?
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