Lead Data Engineer - Remote

Overview

We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python, as well as a solid understanding of ETL and data warehousing principles. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.

In Short

• Design and develop scalable data pipelines using PySpark.
• Write efficient SQL and Python code to transform and cleanse data.
• Collaborate with cross-functional teams to understand data requirements.
• Implement and maintain robust ETL processes.
• Ensure data quality, integrity, and reliability.
• Participate in code reviews and performance tuning.
• Work independently to resolve data-related issues.
• Contribute to Azure-based data solutions.
• Support cloud migration initiatives and DevOps practices.
• Provide guidance and mentor junior team members.

Requirements

• 8+ years of overall experience with cross-functional teams.
• 3+ years of experience developing data pipelines using PySpark.
• Strong programming skills in Python and SQL.
• Deep understanding of ETL processes and data warehousing fundamentals.
• Self-driven and comfortable in dynamic environments.
• Advanced English proficiency is mandatory.

Benefits

• Be part of an innovative team shaping the future of technology.
• Work in a collaborative and inclusive environment.
• Opportunities for professional development and career growth.