[HCM] Data Engineer

• At Ahamove, we are always driven by data and recognize it as fuel for innovation. 
• We collect, analyze and integrate data into every corner of the enterprise. 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.

• Maintain & Optimize inhouse data infrastructure including databases, ETL/ELT pipelines 
• Work with multiple Cloud Computing Platforms such as GCP, AWS, Databricks 
• ETL/ELT big/complex datasets to data marts for multiple departments 
• Create benchmark, alert, audit log for data system 
• Communicate with stakeholders include Product, Business Users, Data Analysts and Data Scientists to solve data related requests

• Bachelor degree in Computer Science or Software Engineering
• Specializing in data science or a higher degree is a big plus.
• At least 02-year-experience in building data platforms and pipelines for analytics.
• Excellence at least 2 programming languages like SQL, Python, Java, Scala
• Experience with Hadoop, Spark
• Experience with cloud services (AWS, GCP, Azure)
• Experience with different database/data warehouse systems: MongoDB, PostgreSQL, BigQuery, etc
• Experience with data pipeline and workflow management tools: Airflow, Cloud Composer, dbt, Airbyte
• Knowledge of data viz tools like Metabase, Tableau, Looker, etc
• Knowledge of streaming process platforms is a plus
• Exposure to emerging open-source technologies.

Why it would be awesome to work with us

• We collect, analyze and integrate data into every corner of the enterprise. 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 Systems, Machine Learning Models…
• Currently, we have created different data positions to solve a variety of problems that are fun, challenging, and meaningful.