Description

Lead a team of eight data engineers to design and maintain scalable data pipelines and architecture.

This role is hybrid.

Responsibilities

• Lead and manage a team of eight data engineers and PowerBI resources.
• Design, develop, and maintain scalable data pipelines using Python, Azure Data Factory, and Databricks.
• Implement ETL processes to extract, transform, and load data from various sources into Snowflake.
• Consult with business users and IT to address data and visualization needs.
• Ensure efficient data processing for analytics and reporting.

Required Skills

• 8+ years of experience in data engineering.
• Expertise in Python, Snowflake, Azure Data Factory, Databricks, and SQL.
• Experience with ETL and data architecture design.
• Proficiency in cloud-based data storage and processing.
• Experience working within Agile methodologies.
• Strong communication, articulation, and presentation skills.

Preferred Skills

• Snowflake or Azure certifications.

Key Skills

Education

Any Graduate