Data Warehouse Engineer

1 week ago


India INSIGHT GLOBAL SOLUTIONS Full time
Job Title: Data Warehouse Engineer at Investment Management Information Services

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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