Senior Data Engineer (Python, SQL)

Top 3 reasons to join us

• Disruptive innovations
• People-oriented philosophy of doing business
• Your footprint on regional on-demand market

Job description

• 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.

Your skills and experience

• 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.

Why you'll love working here

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