About Us
Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.
Job Description
Key Responsibilities:
A strong understanding of common data integration challenges within the insurance industry, as well as the best-practice technical approaches & solutions available through data integration, data warehouse, and data lake technologies
Ability to lead by example, having worked as a technical build resource
Experience in how technology solutions can enable business transformation
Incorporate and implement ETL/ELT best practices within the group
Identify and recommend recent ETL/ELT features/tools and design and develop the optimal solution to address business requirements
Responsible for the development and maintenance of CAESAR (i.e. EDW) ETL/ELT Processes
Translate functional requirements into technical specifications and solutions
Perform ad hoc analysis using SQL to extract data sets
Research innovative technologies and provide ideas for technological or workflow/process improvements
Identify opportunities to re-engineer existing solutions to utilize technology better, optimize performance, and simplify support
Analyze current processes to determine or update Key Performance Metrics
Requirements
Experience: 4 to 5 years
NP: Immediate to 15 days
Location : Chennai / Bangalore
Qualifications/Skills:
Experience with Snowflake, DBT - 1 to 2 years - Required
Experience with SSIS, SQL Server, SQL, relational database, etc. - 1 to 3 years - Required
Knowledge of the Property
📌 Data Engineer (Chennai)
🏢 Kumaran Systems
📍 Chennai
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