Responsibilities

• ​Develop ETL processes that convert data into formats through a team of data analysts and dashboard charts.

• Responsible for performance, speed, scalability, and extensibility of any application requiring usage of the pipeline

• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.

Qualifications

• Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or equivalent industry experience.

• Experience in programming languages such as Python, SQL, or Scala

• Understand the concepts of Data Lake, Data Warehouse, and Data Mart

• Experience in Big Data technologies and their ecosystems such as Hadoop, Spark, and Airflow

• Experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data as structured, semi-structured, or unstructured data

• Familiar with Cloud Computing Services such as AWS, Azure, or GCP 

• Understand the process of data pipeline such as collecting, transforming, and publishing data 

• Understand the tools and design platforms that allow the processing of data from multiple heterogeneous sources with different frequencies (batch/real-time)

• Innovative problem-solving skills with the ability to identify and resolve complex architectural issues

• Ability to translate and clearly formulate technical issues Project

• Good command of English

• An outgoing personality who has proven to be a good team player

• Agile methodology mindset

Welfare & Benefits:
● 10 days vacation leave per year
● Flexible Working Time
● Five days working ( Monday - Friday)
● Happy Hours (Free Snacks & Drinks)
● Project Success Celebration
● Team building Activity and Company Outing
● Training and Development
● Career Opportunity
● Performance bonus and Annual salary increment
● Health insurance and Annual physical check