- 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.
- 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.
- The Investment Management Information Services department is a horizontal within the broader Investment Management division.
- The department focuses on providing cutting edge data and information management solutions, including strategic insights Clients, Portfolio Managers, and other functional groups within the firm.
- The group delivers integrated enterprise data domains and seamless information flows to present information as a strategic asset.
- Within MSIM IT, Data Strategy team have a global delivery footprint that comprises of cutting edge data management platforms supporting Front Office application groups, Business Analytics, Information Architecture and Data Governance.
- The team consists of highly innovative and talented Enterprise Information Solution Architects, Developers, and Analysts.
- The teams are collectively responsible for ensuring the quality of data that is presented to the teams, the development of common, reusable semantic layer components, and ensuring that the governing frameworks and architecture guidelines are being followed and measured.
- Work on Data-Warehouse and Business Intelligence Platform for Investment Management.
- Work on Integrating Meta Data Management and Data Governance platforms.
- Data Sourcing and Data Pipelines implementation.
- Data on Cloud Enablement using Snowflake.
- Engineering support of IM Data Warehouse.
- Good understanding of monitoring jobs in production environment and provide production support when necessary.
- Maintain high standard of quality and adhere to best coding practices.
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Data Warehouse Engineer - Any Location/Bangalore, India - INSIGHT GLOBAL SOLUTIONS
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