Lead Data Engineer AWS, Hybrid Working

MAIN REQUIREMENTS
• Extensive experience in Data & Analytic Platform setup.
• Able to influence solution / architecture design.
• Able to define, design, build, test and maintain the AWS data architecture and supporting services.
Must have
• 8+ years of experience in data engineering or related fields.
• Solid understanding and working with big data and associated concerns (data governance, scalability, security, observability, reliability, etc.).
• Proven experience with integrating multiple heterogeneous data sources, and building a robust, cost-effective, flexible, and large-scale data and analytics platform.
• Deep experience in building large-scale data management and processing platforms, using AWS technologies like Lake Formation, MWAA, EMR, S3, and Athena.
• Experience with data warehousing technologies (AWS Redshift) and data storage formats (Parquet, Avro, JSON) and table formats (governed tables, Iceberg).
• Experience with data transformation and testing tools and frameworks (dbt, Great Expectations, Soda)
• Strong proficiency in Python programming, with advanced SQL knowledge.
• Data modelling experience to support business requirements for data usage (Data Lake, Data warehouse)
• Good working experience with IaC and CI/CD tools (Terraform, Codefresh)
• Experience developing data visualizations using tools such as Tableau, Qlik, or similar.

• Successful track record in managing or leading a team of data engineers.
• Good skill in communicating.

Nice to have
• Rust, Golang or Java programming
• Tertiary qualification with a focus on software development, and the relevant AWS Cloud Certifications (Data specialty preferred)
• Have consulting and influencing skills.

• 18 paid leaves/year (12 annual leaves and 6 personal leaves)

• Insurance plan based on full salary + 13th month salary + Performance bonus

• Meal allowance of 730,000 VND/month

• 100% full salary and benefits as an official employee from the 1st day of working

• Medical benefit for employee and family

• Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 53 countries)

• Free snacks, refreshment, and parking

• Internal training (Technical & Functional & English)

• Working time: 8:30 AM - 6:00 PM from Mondays to Fridays (Hybrid working)