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Mô Tả Công Việc
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 for multiple departments.
Create a benchmark, alert, and audit log for the data system.
Communicate with stakeholders including Product, Software Engineers, Business Users, Data Analysts and Data Scientists to solve data-related requests.
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Yêu Cầu Công Việc
Bachelor degree in Computer Science or Software Engineer or Information System
Specializing in data science or a higher degree is a big plus.
From 04 year experiences in data engineer role and building data platforms and pipelines for analytics.
Excellence in at least one programming language such as Python, Java, Scala, Go, Javascript, Typescript, R.
Excellence at SQL in DBMS.
Experience with cloud services such as GCP, AWS.
Experience with various OLTP and OLAP databases and data warehouses: MongoDB, PostgreSQL, BigQuery, ClickHouse, etc.
Experience with streaming process platforms and streaming concepts such as Redpanda, Kafka, RabbitMQ, CDC or 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.
Experience with building and developing API with Python, Go or Javascript/Typescript.
Experience with using source version control such as gitlab, github.
Experience with Hadoop, Spark, Databricks is a big plus.
Experience with Kubernetes is a big plus.
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Hình thức
Full-time
Quyền Lợi
At Ahamove, we are always driven by data and recognize it as a fuel for innovation. We collect, analyze and integrate data into every corner of the enterprise. The data team is the backbone of our company. Just like the “on-demand delivery” segment, our data team provides "on-demand technologies" to serve our fast-changing business needs and evolving market. Our data team has the power to try many up-to-date solutions, tools and technologies such as Cloud Services, Big Data Distributed System, Machine Learning Model...Currently, we have created different data positions to solve a variety of problems which are fun, challenging and meaningful. We welcome young talents with fresh minds to join us on our way to become a 5-star company.Let's grow together.Benefit
Grab/Be for work: 1M/month
Laptop & PVI insurance
Working 5 days/week (Mon - Fri)
Competitive salaries and benefits according to experience and education level
And more
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