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At Intercontinental Exchange (ICE), we engineer technology, exchanges and clearing houses that connect companies around the world to global capital and derivative markets.
With a leading-edge approach to developing technology platforms, we have built market infrastructure in all major trading centers, offering customers the ability to manage risk and make informed decisions globally.
By leveraging our core strengths in technology, we continue to identify new ways to serve our customers and transform global markets.
AIP Suites (Data Modernization to Snowflake) builds an analytics-ready data architecture where data from source systems such as PDM (Product Data Management) and RDO is ingested into Snowflake for centralized storage and modeling.
These models support ICE BI, which consumes Snowflake data for analytics and dashboarding.
This design ensures clean separation between raw ingestion, transformation, analytics, and service-based consumption, supporting scalable and future-proof data-driven operations.
ICE Mortgage Technology is seeking a Data Engineer who will be responsible for design and optimize SQL queries, develop stored procedures, and participate in the migration and modernization of legacy applications to support IMT (ICE Mortgage Technology) Products.
The candidate should have a strong background in SQL and Stored Procedures
At Intercontinental Exchange (ICE), we engineer technology, exchanges and clearing houses that connect companies around the world to global capital and derivative markets. With a leading-edge approach to developing technology platforms, we have built market infrastructure in all major trading centers, offering customers the ability to manage risk and make informed decisions globally. By leveraging our core strengths in technology, we continue to identify new ways to serve our customers and transform global markets.
AIP Suites (Data Modernization to Snowflake) builds an analytics-ready data architecture where data from source systems such as PDM (Product Data Management) and RDO is ingested into Snowflake for centralized storage and modeling. These models support ICE BI, which consumes Snowflake data for analytics and dashboarding. This design ensures clean separation between raw ingestion, transformation, analytics, and service-based consumption, supporting scalable and future-proof data-driven operations.
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ICE Mortgage Technology is seeking a Data Engineer who will be responsible for design and optimize SQL queries, develop stored procedures, and participate in the migration and modernization of legacy applications to support IMT (ICE Mortgage Technology) Products. The candidate should have a strong background in SQL and Stored Procedures
Bachelor’s Degree or the equivalent combination of education, training, or work experience.
5+ years of professional experience in data engineering or database development.
Strong Hands-on experience:
Writing complex SQL queries and stored procedures
Database stored procedures, functions, views, and schema design
Using Streams, Tasks, Time Travel, and Cloning
Proficiency in database performance tuning and performance optimization — clustering, warehouse sizing, caching, etc.
Experience configuring external stages to integrate with cloud storage (AWS S3, Azure Blob, etc.).
Experience writing Python/Shell scripts for data processing (where needed).
Knowledge on Snowflake and Tidal is an added advantage
Proficiency in using Git and working within Agile/Scrum SDLC environments.
Familiarity working in a Software Development Life Cycle (SDLC) leveraging Agile principles.
Excellent analytical, decision-making, and problem-solving skills.
Ability to multitask in a fast-paced environment with a focus on timeliness, documentation, and communication with peers and business users.
Strong verbal and written communication skills to engage both technical and non-technical audiences at various organizational levels.
Global operator of financial exchanges, clearing houses, and mortgage technology.
Visit company websiteJobs and hiring trendsINR 1057130-1900000 yearly / year
Full-time
Senior · 5+ years experience
Onsite
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