Back
Strong global brand, hybrid flexibility, and a generalist analytics skillset drive high applicant competition.
Core data engineering and analytics skills are highly transferable across industries.
Explicit 1–3 years plus mandatory SQL/Python/dbt/Airflow/cloud skills enforce medium strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Assist in transforming raw data into structured, high-quality datasets ready for analysis.
Own end-to-end data workflow including data ingestion, transformation, modeling, and validation under guidance.
Support data-driven decision-making by combining data engineering, analytical mindset, and business acumen for low to moderately complex problems.
1 to 3 years relevant experience in data engineering or analytics roles.
Proficiency in SQL, Python, dbt, Airflow, and cloud platforms (AWS/Azure/GCP) at entry level.
Fluency in English.
Work Experience Required: 1 to 3 years.
Capable of working under coaching and guidance while progressively handling data workflows independently.
Comfortable bridging technical data engineering skills with business process understanding.
Experience or interest in solving low to moderately complex business data challenges.