Senior Software Engineer (L7)_Data Engineering

Role Overview: As a Data Engineer, you will be responsible for developing and executing innovative data products, solutions, and frameworks. You will play a key role in enabling effective data democratization through well-designed solutions aligned with Client standards.

Key Responsibilities

• Design, develop, and maintain data products, solutions, and infrastructure
• Build data pipelines and compliance-driven infrastructure in AWS Databricks
• Collaborate with technical teams and business stakeholders to translate requirements into solutions
• Work with large card payment datasets ensuring high data quality and performance
• Implement data quality checks, monitoring, and alerting mechanisms
• Support data transformation, integration, and validation for analytics and BI reporting
• Optimize pipelines for performance and reliability
• Troubleshoot and resolve data-related issues with root cause analysis
• Document data processes, lineage, and technical specifications
• Participate in code reviews and enforce best practices
• Collaborate with DevOps teams for deployment automation and monitoring

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• 68 years of experience in Data Engineering or similar roles
• Strong experience with Spark data pipelines using Python in Databricks
• Expertise in ETL/ELT, data modeling, and data warehousing
• Experience with Delta Live Tables or similar automation tools
• Strong knowledge of Databricks, Spark, Python, SQL, and AWS
• Excellent analytical and problem-solving skills
• Ability to work in fast-paced, high-pressure environments
• Strong communication and collaboration skills across distributed teams
• Experience working in Agile environments