Bachelor’s degree in Computer
Science, Information Systems, Engineering, or related field.
Proficiency in ETL process, SQL,
data modeling, and cloud platforms (e.g., AWS, GCP, Azure).
3+ years in data engineering,
preferably in supply chain or planning domains; familiarity with
enterprise planning tools like o9 or SAP is a plus.
Strong problem-solving skills
with expertise in analyzing and optimizing data pipelines.
Excellent communication skills
for cross-functional teamwork with technical and non-technical
stakeholders.
Experience with big data
technologies (e.g., Hadoop, Spark), reporting tools (e.g., Power BI,
Tableau), and ITSM practices (e.g., Jira, Confluence) preferred.