About the Role

We are seeking a Senior Data Engineer to build and manage scalable data pipelines and cloud-based data solutions. In this role, you will work across the full development lifecycle, transforming business requirements into reliable, high-performance data systems that support analytics and decision-making.

What You’ll Do

• Design, develop, and maintain robust data pipelines using Informatica Intelligent Data Management Cloud (IDMC)
• Implement data transformations and business logic using SQL, PL/SQL, and Python
• Build and optimize data models and workflows within Snowflake
• Translate functional requirements into scalable technical designs and implementations
• Ensure data quality, performance, and reliability through testing, debugging, and monitoring
• Leverage Snowpark APIs and PySpark for advanced data processing and large-scale transformations
• Collaborate with cross-functional teams to drive consistency in data architecture and engineering practices
• Participate in design, architecture, and code reviews to maintain high engineering standards
• Create and maintain technical and operational documentation for data systems

Minimum Qualifications

• 10 years of experience in data engineering, ETL development, or related roles
• Strong hands-on expertise in Informatica IDMC (required)
• Proficiency in PL/SQL and SQL scripting for data transformation and optimization
• Experience working with Snowflake
• Programming experience in Python
• Solid understanding of data warehousing concepts and data modeling

Preferred Qualifications

• Experience using Snowpark APIs for in-platform data processing
• Hands-on experience with PySpark for distributed data workloads
• Familiarity with cloud-based data architectures and modern data stack principles
• Strong problem-solving skills and ability to work in complex, data-intensive environments

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