AhaMove

Tóm tắt công việc

You will lead Ahamove’s Data Engineering team, responsible for building and scaling our terabyte-scale data warehouse. Our systems handle nearly 200,000 daily orders across both real-time streaming and batch processing pipelines. Your mission is to ensure the reliability, scalability, and performance of our data infrastructure, empowering:

• Real-time dashboards for operational visibility
• Machine Learning services to power intelligent decision-making
• Robust query experiences for internal teams and external stakeholders

Main Duties:

• Build, maintain and optimize in-house data infrastructure including database, data warehouse, orchestration system, data streaming and batching pipelines.
• Work with multiple Cloud Platforms such as GCP, AWS, Databricks.
• Work with big and complex datasets and multi databases for multiple departments.
• Create a benchmark, alert, and audit log for the data system to ensure stability and scalability of data and system.
• Lead data engineer team and responsible for tech-stack and tech-cost of data platforms
• Communicate with stakeholders including Product Owner, Software Engineers, Business Users, Data Analysts and Machine Learning Engineer to solve data-related problems.

• Physical Wellbeing Benefit: General Insurance, Medical check-up, Accident Insurance, Healthcare Insurance
• Emotional Wellbeing Benefit: Company Trip, Year End Party, Aha Hour Activities, Special Day Gifts, Aha Club (Badminton, Soccer)
• Financial Wellbeing Benefit: Grab/Be For Work (Tech/Lead Level), Workplace Relocation, 13th Month Salary, PP Appreciate, Annual Leave Remain

• Bachelor degree in Computer Science or Software Engineer or Information System
• Specializing in data science or a higher degree is a big plus.
• At least 06-year-experience in data engineer role and building data platforms and pipelines for analytics.
• 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, Databricks is a big plus.
• Excellence with various OLTP and OLAP databases and data warehouses: MongoDB, PostgreSQL, BigQuery, ClickHouse, MotherDuck, 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, PowerBI, Looker Studio, etc.
• Exposure to emerging open-source or technologies to apply.
• Excellence with using source version control such as gitlab, github.
• Experience with Kubernetes or DevOps skills (Linux, Networking) is a big plus.