Mô tả công việc
Unilever is the place where you can bring your purpose to life with the work that you do – creating a better business and a better world. You will work on brands that are loved and improve the lives of our consumers and the communities around us. You will lead innovations, big and small, that will make our business win and grow. You will learn from brilliant business leaders and colleagues who provide mentorship and inspiration so that you can become a better you.
Note: Unilever embraces diversity and encourages applicates from all walks of life! We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment journey. If you require any support to complete your application or any subsequent stage throughout your recruitment journey with us at Unilever, then please specify how we may be able to assist you
What you can expect from the role?
• Design, develop, and maintain scalable and efficient data pipelines and systems.
• Collaborate with stakeholders to understand data requirements and translate them into technical specifications and solutions.
• Develop and maintain robust data infrastructure, including data lakes, data warehouses, ETL/ELT frameworks, and data modeling.
• Implement and enforce data governance practices, including data security, privacy, access controls, and compliance with global regulations.
• Collaborate with cross-functional teams, including data scientists, and analysts, to support their data requirements and enable data-driven decision-making.
Yêu cầu công việc
• Bachelor’s or Master’s degree in computer science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer.
• Strong proficiency in programming languages such as Python, Java, or Scala, and experience with data manipulation frameworks (e.g., Apache Spark, Pandas).
• Extensive experience with SQL.
• In-depth knowledge of data modeling, data warehousing concepts, and ETL/ELT frameworks.
• Proficiency in pipeline orchestration, and workflow management tools (e.g., Azure Data Factory, Apache Airflow).
• Experience with cloud-based data technologies (e.g., AWS, Azure, GCP) and related services (e.g., Azure Data Lake Storage, Databricks, S3, BigQuery)
• Experience with DevOps practices, including CI/CD, infrastructure as code, and automation tools (e.g., Azure Pipelines, ARM, Terraform).
• Strong understanding of networking concepts, cloud-based networking services, and security best practices.
• Strong understanding of data governance, data security, and privacy principles.
• Ability to optimize data processing and storage for performance and scalability.
• Experience with version control systems (e.g., Git) and collaborative development workflows.
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Tỷ lệ cạnh tranh
VietnamWorks tính toán tỷ lệ cạnh tranh của bạn dựa trên thông tin ứng tuyển của bạn và so sánh nó với các ứng viên khác cho công việc này sau khi bạn ứng tuyển.
Thông tin việc làm
27/06/2024
Nhân viên
Công Nghệ Thông Tin/Viễn Thông > Data Engineer/Data Analyst/AI
SQL, Python, Data Management, Big Data, Machine Learning
Thương mại điện tử
Tiếng Anh
3
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Địa điểm làm việc
156 Nguyễn Lương Bằng, Tân Phú, Quận 7, Thành phố Hồ Chí Minh, Việt Nam
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