JOB DESCRIPTION
We are looking for Data Engineer to join us:
Responsible for implementing robust data pipeline.
Responsible for creating reusable and scalable data pipelines.
Responsible for using Databrick to build model in Datalake/Azure Synapse.
Data engineers’ provision and set up data platform/Streaming data technologies that are on-premises and in the cloud.
The data platforms include relational databases, nonrelational databases, data streams, and file stores.
REQUIREMENTS
Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.
At least 3 years of experience in Data Engineering, particularly in Data Integration.
Technical Proficiency:
Hands-on experience with Flink/Spark + Kafka/Airflow
Have experience with Databricks/ Snowflake / InfluxDB
Having experience with CI/CD and Kubernetes is a plus
Strong skills in SQL and Python, Java programming.
Familiarity with Big Data technologies such as Spark or Hadoop/MapReduce
Practical knowledge of Azure services like HDInsight and Azure Databricks would be advantageous
Knowledge of hosting solutions, container-based deployments, and storage architectures is beneficial
Nice to have:
Understanding of cloud platforms, including one of Azure/AWS/Google Cloud Platform
COMPANY BENEFITS
13th Salary + Performance Bonus.
Pass probation Bonus.
Premium healthcare insurance benefits (PVI Insurance package) and family medical benefit (based on the level of experience).
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.
Professional and Personal Development Training Programs.
4 Stars standard company trip in summer and a big annual Year-End-Party.
Coffee and snacks provided.
Holiday celebrations and parties for team members and family.