Specialist Software Engineer

📋 Description Design, develop, and maintain scalable data pipelines and data solutions utilizing Snowflake. Build and support Data Warehouse and Data Lake architectures, including data modeling Understand end-to-end data lineage, dependencies, transformations, and relationships across Investigate customer-reported and production data issues, perform root cause analysis, and drive Develop and troubleshoot cloud-native data solutions across AWS and Snowflake environments. Work with real-time data streaming technologies such as Kafka and Flink. 🎯 Requirements Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. 8 to 12 years of experience in Data Engineering. Strong hands-on experience with Snowflake (critical requirement). Expertise in SQL, ETL/ELT processes, Data Warehousing, Data Modeling, and Data Lake concepts. Strong hands-on experience with AWS services including S3, IAM, EC2, Lambda, CloudWatch, and Experience integrating Snowflake with AWS-based data ecosystems and Data Lakes. 🎁 Benefits Opportunity to work on large-scale cloud and data platforms. Exposure to modern data engineering technologies, AI-driven solutions, and real-time processing Ability to influence architecture, automation, and engineering best practices. Collaborative and innovation-focused work environment. NICE-FLEX hybrid model: 2 days in office, 3 days remote per week.