Sr Data Engineer

Design, build, maintain, analyze, and interpret data to provide actionable insights that drive business decisions. Work with large datasets, develop reports, and support data governance initiatives.

Requirements

• Design, develop, and maintain data solutions
• Create data pipelines and ensure data quality
• Contribute to the design, development, and implementation of data pipelines
• Take ownership of data pipeline projects
• Collaborate with cross-functional teams
• Develop and maintain data models
• Implement data security and privacy measures
• Leverage cloud platforms to build scalable and efficient data solutions
• Collaborate with Data Architects, Business SMEs, and Data Scientists
• Identify and resolve complex data-related challenges
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation
• Design and develop data pipelines leveraging Databricks, PySpark, and SQL
• Engineer solutions for both structured and unstructured data
• Implement automated workflows for data ingestion, transformation, and deployment
• Apply performance optimization techniques
• Build integrations with multiple data sources
• Collaborate effectively with global teams

Benefits

• Competitive salary
• Benefits package
• 401(k) matching
• Generous Paid Time Off
• Retirement Plan