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Data Warehouse Engineer
1 week ago
Requirements:
- 5+ years of Data Warehouse engineering experience
- Strong proficiency in Linux/Unix tools and scripting (Python)
- Strong proficiency with integrating ETL tools with database load utilities
- Cloud Data Lake/Data warehouse technology and tools (Databricks or Snowflake)
- Strong proficiency in writing SQL and procedures
- Good understanding of SQL performance tuning
- Understanding of the SDLC, good practices and experience with different development and change management tools
- Experience working with any RDBMS and integration with application
Extra Skills:
- Strong proficiency in graph databases
- Prior experience or interest in implementing AI/ML Models
- Strong foundation for compute architecture, parallel processing, data architecture and data engineering
- Prior Financial Services Experience
Overview:
- The Investment Management Information Services department is a core component of the Investment Management division
- The team focuses on delivering advanced data and information management solutions to support strategic decision-making
- They provide integrated enterprise data domains and seamless information flows to leverage data as a strategic asset
Team Background:
- The Data Strategy team at MSIM IT has a global delivery footprint, supporting various business functions
- Comprised of talented Enterprise Information Solution Architects, Developers, and Analysts
- Responsible for maintaining data quality, developing reusable components, and ensuring adherence to architectural guidelines
Responsibilities:
- Work on Data-Warehouse and Business Intelligence Platform for Investment Management
- Integrate Meta Data Management and Data Governance platforms
- Implement Data Sourcing and Data Pipelines
- Enable Data on Cloud using Snowflake
- Provide engineering support for IM Data Warehouse
- Monitor jobs in production environment and offer support when needed
- Maintain high coding standards and quality practices
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