So, What's the Role All About?

We are looking for a highly skilled Specialist Data Engineer with strong expertise in Snowflake, AWS, Data Warehousing, and Data Lake technologies. In this role, you will design and build scalable data solutions, analyze complex data environments, troubleshoot production issues, and drive data engineering best practices across cloud-based platforms.  

The ideal candidate combines deep technical knowledge with strong analytical and problem-solving skills, enabling them to understand customer challenges, investigate data flows, identify root causes, and deliver scalable solutions. Exposure to real-time data processing, automation, CI/CD, and AI-driven engineering practices is highly desirable.  

How Will You Make an Impact?

• Design, develop, and maintain scalable data pipelines and data solutions utilizing Snowflake.  
• Build and support Data Warehouse and Data Lake architectures, including data modeling, transformation, and integration.  
• Understand end-to-end data lineage, dependencies, transformations, and relationships across platforms.  
• Investigate customer-reported and production data issues, perform root cause analysis, and drive timely resolution.  
• Develop and troubleshoot cloud-native data solutions across AWS and Snowflake environments.  
• Work with real-time data streaming technologies such as Kafka and Flink.  
• Implement software engineering best practices including CI/CD, source control, automated testing, and deployments.  
• Identify opportunities for automation and improve operational efficiency through reusable frameworks and utilities.  
• Leverage Generative AI and Agentic AI capabilities to enhance data engineering workflows, troubleshooting, and productivity.  
• Contribute to the scalability, reliability, monitoring, and performance optimization of data platforms.  

Have You Got What It Takes?

Required Qualifications

• 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. This is a critical requirement for the role.  
• 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 SQS/SNS.  
• Experience integrating Snowflake with AWS-based data ecosystems and Data Lakes.  
• Experience working with large-scale data platforms and complex datasets.  
• Strong troubleshooting and analytical skills with the ability to independently investigate data issues.  
• Experience with Kafka, Flink, or similar stream-processing technologies.  
• Experience with Git, CI/CD pipelines, automated deployments, and modern software engineering practices.  
• Proficiency in Python, Java, or Scala.  
• Understanding of cloud-native architecture, scalability, monitoring, reliability, and performance optimization.  

Preferred Qualifications

• Exposure to Generative AI and Agentic AI concepts and practical applications.  
• Experience with Snowflake Cortex or similar AI-enabled data platforms.  
• Demonstrated experience implementing automation solutions to improve engineering productivity and operational efficiency.  

You Will Have an Advantage If You Also Have

• Strong customer-centric problem-solving capabilities.
• Ability to trace and analyze data across multiple systems and layers.
• Experience building reusable frameworks, utilities, and engineering accelerators.
• Strong ownership mindset with a focus on continuous improvement and innovation.  

What's In It For You?

• Opportunity to work on large-scale cloud and data platforms.
• Exposure to modern data engineering technologies, AI-driven solutions, and real-time processing frameworks.
• Ability to influence architecture, automation, and engineering best practices.
• Collaborative and innovation-focused work environment.

Enjoy NICE-FLEX!

• At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 11519

Reporting into: Tech Manager

Role Type: Individual Contributor