Senior Data Engineer

We are looking for Senior Data Engineer to join us:
• Work with the leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines.
• Data engineers’ provision and set up data platform/Streaming data technologies that are on- premises and in the cloud.
• Responsible for using Databrick to build model in Datalake/Azure Synapse.
• Responsible for creating reusable and scalable data pipelines.
• Manage and secure the flow of structured and unstructured data from multiple sources.
• Responsible for implementing robust data pipeline using Azure Stack.
• The data platforms include relational databases, nonrelational databases, data streams, and file stores.

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.
• At least 5 years of experience in Data Engineering, particularly in Data Integration.
Technical Proficiency:
• Strong skills in SQL and Python programming.
• Practical knowledge of Azure services like HDInsight and Azure Databricks would be advantageous.
• Familiarity with Big Data technologies such as Spark and Hadoop/MapReduce (preferred but not mandatory).
• Knowledge of hosting solutions, container- based deployments, and storage architectures is beneficial.
• Solid understanding of cloud platforms, including Azure, AWS, and Google Cloud Platform (GCP).
• Hands- on experience with Flink/Spark, Databricks, and preferably Kubernetes.
• Good understanding of Linux, Iseries, and Windows operating systems.
Certifications:
• At least one recognized Big Data certification, such as Microsoft Certified: Azure Data Engineer Associate or AWS Certified Data Engineer – Associate.
• Additional certifications like Solution Architect are an advantage.
Other:
• Experience contributing to industry or open- source communities.
• English communication skills.
• Strong passion for analytics and machine learning technologies, a willingness to continuously learn, and effective.

• Holiday celebrations and parties for team members and family.
• Premium healthcare insurance benefits (PVI Insurance package) and family medical benefit (based on the level of experience).
• Coffee and snacks provided.
• 13th Salary + Performance Bonus.
• Pass probation Bonus.
• Professional and Personal Development Training Programs.
• 4 Stars standard company trip in summer and a big annual Year- End- Party.
• Provide the famous e- learning platform- Udemy, to encourage continuous learning to adapt to the T- shape model.
• Flexible working time: only 8 hours required as continual working- time at the office.
• Annual leave up to 17 days: 12 days paid leave + 5 days’ sick leave.

Cập nhật gần nhất lúc: 2024-11-30 14:55:03