Lead Data Software Engineer

📋 Description

• Design, build, and maintain scalable data pipelines that ensure reliable data flow across multiple
• Develop and manage ingestion pipelines that collect and process data from diverse source systems.
• Write clean, maintainable, high-quality, and thoroughly tested code based on strong software
• Collaborate with cross-functional teams to understand business and data requirements and translate
• Monitor pipeline performance, identify potential issues proactively, and maintain system
• Participate in code reviews, uphold engineering quality standards, and share technical knowledge

🎯 Requirements

• At least 5 years of relevant professional experience.
• At least 1 year of experience leading and managing development teams.
• Strong experience with PySpark and Spark SQL for building and managing large-scale data processing
• Hands-on experience developing and managing Databricks Lakeflow pipelines and Jobs for data
• Proficiency with Auto Loader and JDBC/CDC ingestion strategies, including experience integrating
• Strong knowledge of Delta Lake and Unity Catalog for data storage, management, and governance.

🎁 Benefits

• Opportunity to work on international projects for leading global brands.
• Collaboration with highly skilled and diverse teams across different locations.
• Healthcare benefits.
• Employee financial programs.
• Paid time off and sick leave.
• Upskilling, reskilling, and professional certification opportunities.