We are looking for a highly skilled Data Engineer to join our team. This role will focus on building robust data pipelines, developing high quality data lake/data warehouse ecosystem with multiple data sources, and modern ML infrastructures to deliver impactful business solutions across DatVietVAC.

• Build, maintain and optimize in-house data infrastructure including datalake, data warehouse, orchestration system, data streaming/batching pipelines and ML Infrastructure.
• Work with multiple Cloud Platforms such as GCP, AWS, and Databricks.
• Handle large-scale, complex datasets and manage multiple databases serving various departments and business units.
• Create a benchmark, alert, and audit log for the data system to ensure stability and scalability of data and system.
• Communicate with stakeholders including Product Owner, Software Engineers, Business Users, Data Analysts and Data Scientist to solve data-related problems.

• Bachelor’s degree or higher in Data Science, IT, Software Engineering, or related fields.

Experience

• At least 3 years of experience as a Data Engineer, preferably in technology, digital platforms, or OTT companies.
• Hands-on experience working with big data in cloud and distributed systems.

Technical Skills

• Excellence in Python and one programming language Java, Scala, Go, Javascript, Typescript, R is a big plus.
• Excellence at SQL in DBMS.
• Excellence with cloud services such as GCP or AWS.
• Experience with Hadoop, Spark, and Databricks is a big plus.
• Excellence with various OLTP and OLAP databases and data warehouses: MongoDB, PostgreSQL, BigQuery, ClickHouse, etc.
• Excellence with streaming process platforms and streaming concepts such as Redpanda, Kafka, RabbitMQ, CDC or any open-sources.
• Experience with data pipeline and workflow management tools: Airflow, dbt, Airbyte, etc.
• Knowledge of data visualization tools like Metabase, Superset, etc.
• Experience with building and developing API with Python, Go or Javascript/Typescript.
• Excellence with using source version control such as Gitlab, Github.
• Experience with Kubernetes or DevOps skills (Linux, Networking) is a big plus.