Senior Data Software Engineer

📋 Description

• Design, develop, and maintain scalable data pipelines that enable reliable data movement across
• Build and manage data ingestion processes from a variety of source systems.
• Write clean, efficient, maintainable, and well-tested code in accordance with established software
• Collaborate with cross-functional teams to understand data requirements and translate them into
• Monitor data pipeline performance and proactively identify and resolve issues to maintain system
• Participate in code reviews, uphold engineering quality standards, and share technical knowledge

🎯 Requirements

• At least 3 years of relevant professional experience in data engineering or a related software
• Strong hands-on experience with PySpark and Spark SQL for building and processing large-scale data
• Experience building and managing Lakeflow pipelines and Jobs for data orchestration.
• Proficiency with Auto Loader and JDBC/CDC ingestion methods, working with source systems such as
• Solid experience with Delta Lake and Unity Catalog for data storage, management, and governance.
• Background in data quality assurance and source reconciliation to maintain accurate and trustworthy

🎁 Benefits

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