Job Overview

Our Client is the pioneer company in data analytics for the global import/export industry. Our trade data is used by import/export businesses worldwide to gain a competitive advantage. Currently, we are seeking talented data engineers to lead our data projects and inspire our data team towards innovation.

Responsibilities

• Use creativity to extract insights from Global Trade Data
• Build and maintain scalable ETL pipelines for complex transformations
• Collaborate with stakeholders to address data-related technical issues
• Conduct training sessions for upskilling, including Junior Data Engineers
• Implement industry-standard practices in data engineering
• Implement and scale machine learning techniques in trade data processing
• Perform other duties typical of a professional in similar settings

Required Skills

• 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

Additional Requirements:

• Minimum 2 years of professional experience in Data Management
• Excellent written and verbal English communication skills
• Intrinsic motivation for continuous improvement
• Ability to find solutions to complex problems
• Experience in data warehousing and topologies
• Strong experience with various types of databases
• Background in Statistical Analysis
• Ability to communicate effectively with management and other teams

Preferred Skills

• Basic grasp of statistics and probability
• Experience with Hadoop

Why Apply

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

Interview Process

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