Data Warehouse Engineer

The Data Warehouse Engineer is responsible for designing, developing, and maintaining enterprise data warehouse infrastructure and ETL (Extract, Transform, Load) solutions that support strategic decision-making and operational efficiency. This role requires strong expertise in data integration, database management, and modern data engineering practices. The position collaborates closely with business stakeholders and cross-functional teams to gather requirements, implement scalable data solutions, and ensure the availability of high-quality, reliable data assets for business intelligence and analytics initiatives.

Key Responsibilities

ETL Development and Data Integration

• Design, develop, and maintain complex ETL workflows using enterprise tools such as Informatica
• Extract data from diverse source systems, apply transformation logic, and load into data warehouse environments
• Implement automated validation processes to ensure data accuracy and integrity
• Develop Python scripts and APIs for automation, data processing, and integration tasks

Data Warehouse Design and Optimization

• Design and maintain efficient data warehouse structures (schemas, tables, views, materialized views)
• Perform performance tuning, including query optimization, clustering keys, and partitioning strategies
• Apply best practices in data modeling and architecture
• Utilize advanced platform features such as time travel, zero-copy cloning, and data sharing
• Ensure scalability, efficiency, and optimal system performance

Business Intelligence Support and Collaboration

• Provide Level III technical support for BI and decision support tools
• Collaborate with business stakeholders to translate requirements into technical solutions
• Troubleshoot complex data issues
• Develop reports and visualizations using tools such as Power BI and Cognos
• Ensure data accuracy, usability, and efficiency for business users

Data Pipeline Development and API Integration

• Design and implement scalable modern data pipelines
• Develop Python-based solutions for data ingestion and transformation
• Integrate systems through APIs and web services
• Leverage platform capabilities such as:
  • Streams and Tasks
  • Continuous data ingestion (e.g., Snowpipe)
  • External functions for integrations
• Ensure reliability and scalability in a 24/7/365 enterprise environment

Required Skills & Experience

• Bachelor’s degree in Computer Science, Engineering, Business, or related field
• Minimum 5 years of experience in data warehousing, ETL development, and database management
• Strong expertise with Informatica and BI tools such as Snowflake, Power BI, and Cognos
• Advanced proficiency in SQL and cloud-based data warehouse technologies
• Hands-on experience with Snowflake architecture, administration, and optimization
• Experience using Python for data engineering tasks
• Knowledge of API development and system integration
• Strong analytical, problem-solving, and communication skills
• Demonstrated ability to collaborate effectively across teams
• Ability to obtain and maintain required gaming licenses in multiple jurisdictions

Preferred Experience

• Advanced SQL and relational database expertise
• Deep knowledge of Snowflake ecosystem (SnowSQL, Snowpipe, Streams, Tasks, Data Sharing)
• Strong understanding of data modeling and architecture principles
• Experience with API development and integration frameworks
• Knowledge of governance frameworks such as COBIT and ITIL
• Solid understanding of Software Development Lifecycle (SDLC) and data engineering best practices