About us
Renova Cloud is a leading provider of Cloud Computing, DevOps, and AI Solutions in Vietnam. As the AWS Partner of the Year for both 2023 and 2024, we bring together a highly skilled team of cloud architects, AI/data engineers, and DevOps professionals. We specialize in helping enterprises modernize their workloads, accelerate cloud adoption, and embrace the next generation of AI and automation technologies.
In July 2025, Renova Cloud signed a Strategic Collaboration Agreement (SCA) with AWS (Amazon Web Services) to accelerate the adoption of Generative AI in Vietnam. Following this, we officially launched the Renova AI Factory — a dedicated innovation hub in Ho Chi Minh City designed to incubate and scale GenAI workloads, enabling enterprises to co-create real-world solutions with our experts.
“We’re seeing tremendous momentum in generative AI adoption across Vietnam, and partners like Renova Cloud are essential in helping our customers implement secure and scalable solutions. We’re excited to deepen our collaboration with Renova Cloud with this Strategic Collaboration Agreement.”
— Kirsten Gilberston, Head of Partner Management, ASEAN, AWS
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More about Renova Cloud
Position Summary
As a Cloud Data Head, you are to be in the top technology edge and working closely with various cloud technology leaders. Join us now and be a part of the next generation of cloud technology.
Key Relationships
- Designing, coding, and testing software modules/applications for data collection;
- Identifying, creating, and preparing data required for modern Data Analytics, Data Science; ● Building modern Data Architect (Data Lake, Data Warehouse, and Data Lakehouse) solutions using existed cloud provided services;
- Creating and documenting the tests to meet requirements;
- Deploying Data services solutions into cloud environments and integrating them with other components in the application;
- Maintaining, tuning, and adapting applications to keep them performing to specifications ;
- Lead/ Manage Data team ;
- Other tasks as assigned by CTO, CEO
Key Relationships
Internal
Team members
External
Clients
Partners
Qualifications and Experience
Memberships
- Fluency in SQL and Python is must, knowledge of other languages are preferable (Scala, Java)
- Experienced with ETL/ELT and Data Integration tools like : Airflow, AWS Glue, Talend(opt), Airbyte or Fivetran, DBT – Query Engine/Data Processing: Prestodb, Flink, Pyspark –
- Database Engine/Streaming: AWS Redshift(opt), MongoDB, PostgreSQL, Kafka, SQL, MySQL, Oracle(opt)
- Experienced in real-time data processing like Kafka, Apache Flink, Apache Beam
- Experienced in using data orchestrations like Apache Airflow, and (or Dagster, Luigi)
Experience
- + 5 years of experience in data engineering and cloud data processing services (AWS, Azure, and (or) Google Cloud Platform)
Personal Requirements
- Interest or experience in Big Data technologies (Hadoop, Spark, Data Bricks, Snowflake)
- Open mindset, ability to quickly adapt to new technologies and learn new practice.
