Trainee Data Engineer (#2035)

Our client is Fortune 500 company. As a leading business-to-business organization, more than 3.2 million customers rely on its products in categories such as safety, material handling and metalworking, along with services like inventory management and technical support.

Responsibilities:

• Build, enhance and maintain ETL processes within Snowflake
• Build, enhance and maintain Snowflake stored procedures/UDFs for analytical purposes
• Collect, analyze and implement business requirements from the customer
• Work closely with Data Engineering/API/QA Teams to produce a robust analytical solution for customer’s internal use
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc

Requirements: 

• 6+ months of commercial experience with SQL and Python 
• Familiarity with RDBMS and their main concepts 
• Familiarity/working experience with cloud DWHs (preferably Snowflake)
• Good knowledge of Git (required)
• Familiarity with Apache Airflow (preferred, not required)
• Experience using Unix-based OS (preferred, not required)
• Experience with Amazon Web Services (preferred, not required)
• Familiarity with JavaScript or other C-based programming language (preferred, not required)
• Good understanding of software development methodologies
• Familiarity with ETL processes
• Good communication skills (required)
• Result-oriented team player and quick learner
• Strong analytic skills related to working with unstructured datasets
• At least Intermediate-level English