Tech Stack Expertise: Proficiency in Python, Pyspark, and Databricks, utilizing these tools to develop robust data pipelines, perform data transformations, and optimize data workflows within the Supply Chain realm.
Innovative Problem-Solving: Demonstrate technical expertise by thinking creatively and providing innovative solutions to complex data-related challenges, pushing boundaries in Supply Chain data analytics.
Communication Skills: Exceptional communication abilities to effectively convey technical concepts, collaborate with cross-functional teams, and articulate solutions to non-technical stakeholders.
Autonomous Work: Ability to work independently and proactively, taking ownership of projects, and delivering high-quality solutions with minimal supervision.
Guidance and Best Practices: Lead the team by setting coding standards, advocating for reusable and modularized code, implementing design patterns, and guiding on best practices in data engineering.
Perks and Benefits :
Strong expertise in Python, Pyspark, and Databricks, with hands-on experience in developing and optimizing data pipelines for complex data transformations.
Exceptional problem-solving skills, with a demonstrated ability to think creatively and develop innovative solutions for data-related issues.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders.
Self-driven and autonomous work style, capable of taking ownership of projects and delivering high-quality results independently.
Experience in guiding and mentoring teams on coding standards, design patterns, and best practices in data engineering.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full time