Responsibilities

• Create and maintain optimal data pipeline architecture.
• Perform ETL process and prepare data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create Dashboard by using PowerBI, Tableau and others for data visualization.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Consult, install and maintain products related to data pipeline.

 

Qualification

• Bachelor’s degree or higher in Computer Science, Statistics, Informatics, Information Systems or any related field.
• Experience: At least 0-2 years’ experience in related field or related with Data Engineer or, New graduated is welcome.