Data Engineer

6 months ago

Singapur, Singapore Phillip Securities Full time

Data Engineer

Key Responsibilities :

Data Pipeline Development : Design, build, and maintain data pipelines that extract, transform, and load (ETL) data from various sources into our data Data Modeling : Develop and maintain data models that optimize data storage and retrieval for analytical purposes. Data Integration : Collaborate with different departments to integrate data from various systems, ensuring data accuracy and consistency. Data Quality Assurance : Implement data quality checks and monitoring to ensure the accuracy and reliability of data. Data Security : Implement and maintain data security measures to protect sensitive information and comply with data privacy regulations. Data Documentation : Create and maintain documentation for data pipelines, schemas, and processes to facilitate knowledge sharing and transparency. Performance Optimization : Continuously optimize data pipelines and queries for better performance and scalability. Collaboration : Work closely with other stakeholders to understand their data requirements and provide the necessary support. Technology Stack : Stay up-to-date with the latest data engineering tools and technologies and make recommendations for their adoption when appropriate. Data Governance : Help establish data governance practices, including data cataloging, metadata management, and data lineage. Troubleshooting : Diagnose and resolve data-related issues and provide support to other teams when encountering data-related challenges.

Qualifications :

Bachelor’s degree in Computer Science, Data Engineering, or a related field Proven experience as a Data Engineer or similar role, preferably in a data-centric organization. Strong programming skills in languages such as Python, Java, or Scala. Proficiency in data warehousing, ETL tools. Experience with databases (SQL, NoSQL) and data modeling. Knowledge of data integration techniques and tools. Understanding of data privacy and security best practices. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a dynamic environment. Familiarity with data governance principles and data privacy regulations is a plus

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