Job Description:
Engineering & Development
-
Develop and optimize SQL queries stored procedures and ETL pipelines.
-
Build robust data warehouse structures and maintain/create high-quality ETL workflows using SSIS and Snaplogic.
-
Implement data quality validation and auditing frameworks.
& LLM-Driven Solutions (Agentic AI)
-
Apply hands-on experience with AI/LLM tools and frameworks to embed intelligence into reports portals and automations.
-
Build agentic AI components that can interpret user questions summarize insights
-
Utilize LLMs to accelerate ETL documentation metadata enhancement pattern detection and automated data transformations.
-
Collaborate with product and analytics teams to design AI-enabled user journeys such as natural-language querying conversational interfaces and intelligent data assistants.
3. Data Modeling
-
Design conceptual logical and physical models optimized for analytics AI consumption and enterprise data platforms.
-
Implement best practices in dimensional modeling (Star/Snowflake schema).
-
Align data structures with business needs and AI-driven workflows.
Skills & Experience
-
Strong hands-on expertise with SQL Server SSIS and Data Warehousing concepts.
-
Proven experience designing ETL/ELT solutions and optimizing large-scale datasets.
-
Knowledge of Python or scripting for AI & ETL automation.
-
Exposure to building conversational interfaces natural-language query layers or AIcopilots.
-
Solid understanding of data modeling techniques and semantic layer design.
-
Practical hands-on experience with LLMs and AI frameworks (OpenAI Azure
5. OpenAI LangChain etc.).
-
Ability to build or integrate agentic AI workflows into applications reports or data products.
-
Experience with cloud data tools and services (Azure AWS GCP etc.).
-
Comfort with version control CICD and modern engineering practices.
Job Description: Engineering & Development Develop and optimize SQL queries stored procedures and ETL pipelines. Build robust data warehouse structures and maintain/create high-quality ETL workflows using SSIS and Snaplogic. Implement data quality validation and auditing frameworks. ...
Job Description:
Engineering & Development
-
Develop and optimize SQL queries stored procedures and ETL pipelines.
-
Build robust data warehouse structures and maintain/create high-quality ETL workflows using SSIS and Snaplogic.
-
Implement data quality validation and auditing frameworks.
& LLM-Driven Solutions (Agentic AI)
-
Apply hands-on experience with AI/LLM tools and frameworks to embed intelligence into reports portals and automations.
-
Build agentic AI components that can interpret user questions summarize insights
-
Utilize LLMs to accelerate ETL documentation metadata enhancement pattern detection and automated data transformations.
-
Collaborate with product and analytics teams to design AI-enabled user journeys such as natural-language querying conversational interfaces and intelligent data assistants.
3. Data Modeling
-
Design conceptual logical and physical models optimized for analytics AI consumption and enterprise data platforms.
-
Implement best practices in dimensional modeling (Star/Snowflake schema).
-
Align data structures with business needs and AI-driven workflows.
Skills & Experience
-
Strong hands-on expertise with SQL Server SSIS and Data Warehousing concepts.
-
Proven experience designing ETL/ELT solutions and optimizing large-scale datasets.
-
Knowledge of Python or scripting for AI & ETL automation.
-
Exposure to building conversational interfaces natural-language query layers or AIcopilots.
-
Solid understanding of data modeling techniques and semantic layer design.
-
Practical hands-on experience with LLMs and AI frameworks (OpenAI Azure
5. OpenAI LangChain etc.).
-
Ability to build or integrate agentic AI workflows into applications reports or data products.
-
Experience with cloud data tools and services (Azure AWS GCP etc.).
-
Comfort with version control CICD and modern engineering practices.
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