About ImportGenius

ImportGenius is the pioneer company in data analytics for the global import/export industry. Our trade data is used by import/export businesses the world over to gain an advantage over their competitors. The insights we produce using our trade data have been used by analysts and journalists to predict the iPhone launch even before the official announcement, track counterfeit money flowing into Venezuela, and most recently to discover priceless antiques being shipped out of Russia by oligarchs.

Currently, we're on the hunt for talented data engineers to spearhead our data projects and inspire our gifted data team toward unparalleled innovation.

Duties & Responsibilities

• Use your creativity to find and extract useful insights from Global Trade Data
• Build and maintain scalable ETL pipelines that will perform complex transformations in a parallel fashion over large-scale datasets
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their needs.
• Conduct upskill or skill transfer training from time to time (including but not limited to Junior Data Engineers)
• Help in the implementation of industry-standard world-class practices in data engineering
• Help in the implementation and scalability of machine learning techniques in the processing of trade data
• Perform such other duties as customarily performed by a professional in other, same, or similar engagements.

Required Skills and Experiences

Programming Language: Python

Data Processing Framework & Engine: Apache Spark

Data Stack: AWS Glue, S3, Lambda, Redshift, OpenSearch, Athena, QuickSight

Cloud Service Provider: AWS

DBMS: MySQL, MongoDB

• Minimum 2 years of professional experience in Data Management
• Excellent written and verbal English communication skills
• Driven with an intrinsic motivation to succeed and continuously improve yourself and your surroundings
• Creative and able to find and build solutions to complex problems
• Experience designing and building data warehouses and associated topologies
• Strong experience with Relational, Non-Relational, and Columnar Databases
• Innovative “out of the box” thinking. This role is central to the company’s competitive advantage in providing unique insights using publicly available data
• Background in Statistical Analysis
• Ability to liaise with management and other teams

Preferred Skills and Experiences

• A basic grasp of statistics and probability will be a plus
• Experience with Hadoop a plus

Why Candidates Should Apply for this Position

• 14 Vacation Leave
• 14 Sick Leave
• 5 Emergency Leave
• Annual Merit Increase based on performance
• Annual Milestone Bonus based on performance
• Weekends off and Philippines holidays off

Report to

Hiring Manager

Interview Process

1. Aptitude and personality exam
2. Skill test
3. HR Call
4. Final Interview (1-2 rounds based on level)

If you are interested in this position and meet qualifications, don't hesitate to apply now!