Data Engineer

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

Bachelors 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.