Key Job Duties/Responsibilities include, but are not limited to:

• End-to-end ETL processes, including Monitoring and analysis of information and data systems to evaluate their performance and discover ways of enhancing them (new technologies, upgrades etc.)

• Data management in Oracle and Snowflake, including quality assurance, enforcing policies for effective data management, formulating management techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data

• Creation of complex and efficient SQL queries to provide business users with key insights

• Maintenance and creation of Power BI and Tableau dashboards

Required qualifications:

• Master/Bachelor’s level degree (in Computer Science or other disciplines, Mathematics, Physics, Computer Applications, Statistics, …) from a college or university, or equal qualification in experience

• 0-2 years of experience in a data engineering role

• Hands-on experience with schema design and data modeling

• Exposure to data pipeline tools within cloud-based environments

• Knowledge of and familiarity with analytical warehouses

• Advanced knowledge of SQL (experience with Oracle and/or Snowflake is a plus)

• Strong experience with ETL processes, design, and principles

• Experience with BI Tools (preferably Power BI or Tableau)

• MS Office (Power Point, Word, Excel, Access)

• Have excellent written and verbal communication in English

Desired Qualifications:

• Knowledge of tools within Power Platform, mainly Power Automate and Power Apps

• Experience with development on SharePoint Online

• Experience with Alteryx

The ideal candidate should:

• Have deep interest in technology, data analysis and supply chain

• Be able to lead business conversations and transform business requirements into technical requirements

• Be curious and continuously looking for ways of improving ongoing processes

• Have strong interpersonal skills and adopt a collaborative work style

• Understand multi-cultural differences