Description

You will lead data science initiatives focused on analytics and IoT systems, owning the end-to-end data pipeline from ingestion to operationalization.

This role is hybrid.

Responsibilities

• Develop and operationalize data ingestion, preparation, and integration techniques to meet evolving data requirements.
• Design and maintain system architecture involving Data Lakes, Data Warehouses, and Data Marts.
• Write advanced, complex SQL queries for data manipulation and analysis.
• Apply PySpark coding to solve complex data engineering challenges and optimize performance.
• Apply data science methodologies to derive actionable insights from IoT and analytical datasets.

Required Skills

• 8+ years of overall IT experience, preferably in a cloud environment.
• Minimum 5 years of development experience on AWS Databricks.
• Expert proficiency in PySpark coding.
• Strong expertise in writing complex SQL queries.
• Experience with Data Warehouse (DWH) concepts and architecture.
• Proficiency in Python for data science tasks.
• Familiarity with Data Lakes architecture.

Preferred Skills

• Experience with IoT systems and analytics.

Key Skills

Education

Any Graduate