IT Engineer,Software,Advanced

Data Engineering & Pipeline Development

• Design, develop, and maintain scalable and reliable ELT/ETL pipelines using Fivetran, Matillion, and Snowflake.
• Build and optimize data ingestion frameworks for structured, semi-structured, and unstructured data sources.
• Develop and maintain Snowflake data models, schemas, views, and transformation logic.
• Implement data quality checks, validation frameworks, and monitoring processes.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Support batch and near real-time data integration requirements.

Snowflake Platform Engineering

• Design and implement data solutions leveraging Snowflake's cloud-native architecture.
• Manage Snowflake objects including databases, schemas, warehouses, tasks, streams, and secure data sharing.
• Implement performance tuning strategies, query optimization, and warehouse sizing recommendations.
• Ensure adherence to data governance, security, and compliance requirements.

AI & Advanced Analytics Enablement

• Utilize Snowflake Cortex AI capabilities for intelligent data processing, summarization, classification, sentiment analysis, and generative AI use cases.
• Implement AI-powered workflows using Snowflake-native AI services.
• Leverage Snowflake Intelligence to enable business users with natural language insights and data exploration capabilities.
• Collaborate with Data Scientists and Analytics teams to operationalize AI/ML and GenAI solutions on Snowflake.

Collaboration & Best Practices

• Work closely with business and technical teams to understand data requirements and translate them into scalable solutions.
• Participate in architecture reviews, code reviews, and data platform enhancement initiatives.
• Develop technical documentation, data lineage documentation, and operational runbooks.
• Support production deployments and troubleshoot data pipeline issues.

Education

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.

Experience

• 4+ years of experience in Data Engineering, Data Integration, or Data Warehousing.
• Proven experience building enterprise-scale data pipelines and data platforms.

Technical Skills

• Strong hands-on experience with Snowflake Data Cloud.
• Experience building and maintaining pipelines using Fivetran.
• Strong development experience with Matillion ETL/ELT.
• Advanced SQL skills and performance optimization techniques.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of data modeling principles including dimensional and normalized models.
• Experience with version control systems such as Git.

Snowflake AI Skills

• Experience using Snowflake Cortex AI services and functions.
• Understanding of AI/GenAI concepts and Snowflake-native AI capabilities.
• Experience leveraging Snowflake Intelligence for conversational analytics and business insights.
• Familiarity with prompt engineering and AI-assisted data workflows.