Data Engineer

We are offering an immediate opening for an experienced Data Engineer based in our Ho Chi Minh office. As part of a dedicatedly agile team, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection. 

You should have excellent business and communication skills to work with product owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data lake.

If you are self-directed and comfortable supporting the data needs of multiple teams, systems and products, we would like to meet you.

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​YOUR MAIN DUTIES:

• Manage and expand our existing AWS big data infrastructure

• Build ETL processes within the AWS environment

• Perform data extraction, cleaning, transformation, and flow

• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks

• Integrate and collate data silos in a manner which is scalable, compliant and cost-efficient

• English proficiency is a must
• 2+ years of experience in designing and developing solutions using AWS services such as Lambda, Glue, Athena, SNS, Redshift, etc.
• Good knowledge of programming (Python) are required
• Hands on working knowledge of Relational / NoSQL databases such as MySQL, PostgreSQL or Cassandra
• Experience with Cassandra DB administration in a production environment; performance/scaling concepts and tuning best practices
• Understanding accessibility and security compliance
• Experience with Microservice architectures, Event-driven architectures should be a plus
• Experience working in agile development teams using Scrum methodologies
• Able to work autonomously and within a team
• Must be organized, efficient, and have good attention to details
• Must be able to show initiative to get a job done with little / no supervision