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.