Software Engineer working on scalable LLM and AI systems at Carelon Global Solutions. Responsibilities include building LLM model pipelines, collaborating with various teams, and mentoring junior engineers.
About the role
- Software Engineer developing advanced analytics solutions using SQL and Azure for Gartner's Conference Technology team. Collaborating with stakeholders to enhance conference reporting and analytics capabilities.
Responsibilities
- Collaborate with business stakeholders, design, build advanced analytic solutions for Gartner Conference Technology Business
- Execution of our data strategy through design and development of Data platforms to deliver Reporting, BI and Advanced Analytics solutions
- Design and development of key analytics capabilities using MS SQL Server, Azure SQL Managed Instance, T-SQL & ADF on Azure Platform
- Create, build, and implement comprehensive data integration solutions utilizing Azure Data Factory
- Analysing and solving complex business problems, breaking down the work into actionable tasks
- Develop, maintain, and document data dictionary and data flow diagrams
- Responsible for building and enhancing the regression test suite to monitor nightly ETL jobs and identify data issues
- Work alongside project managers, cross teams in a fast paced Agile/Scrum environment
- Build Optimized solutions and designs to handle Big Data
- Follow coding standards, build appropriate unit tests, integration tests, deployment scripts and review project artifacts created by peers
- Contribute to overall growth by suggesting improvements to the existing software architecture or introducing new technologies.
Requirements
- Graduate/Post-graduate in BE/Btech, ME/MTech or MCA is preferred
- 5-7 years of experience in Data analytics, Cloud technologies and ETL development
- Excellent communication and prioritization skills
- Strong IT professional with high-end knowledge on Designing and Development of E2E BI & Analytics projects in a global enterprise environment
- Strong experience with SQL, including diagnosing and resolving load failures, constructing hierarchical queries, and efficiently analysing existing SQL code
- Ability to create and modify various database objects such as stored procedures, views, tables, triggers, indexes
- Deep understanding in writing Advance SQL code (Analytic functions)
- Strong technical experience with Database performance and tuning, troubleshooting and query optimization
- Strong technical experience with Azure Data Factory on Azure Platform
- Experience in Cloud Platforms, Azure technologies like Azure Analysis Services, Azure Blob Storage, Azure Data Lake, Azure Delta Lake etc
- Experience with data modelling, database design, and data warehousing concepts and Data Lake.
- Ensure thorough documentation of data processes, configurations, and operational procedures.
Benefits
- world-class benefits
- highly competitive compensation
- disproportionate rewards for top performers
- flexibility in a hybrid work environment
- professional growth opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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