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5.0 - 7.0 years
8 - 12 Lacs
mumbai, delhi / ncr, bengaluru
Work from Office
Job Title: Software Engineer Location: Pan India (Remote),Delhi NCR, Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai,Hyderabad Working Time zone: Standard IST working time zone About the role: We are looking for a Software Engineer with 5+ years of experience to support development and integration tasks within the banking and financial services domain. The role involves working on Microsoft SQL Server stack, .NET applications, and core banking systems like iMAL. You'll collaborate with cross-functional teams to deliver scalable and efficient financial solutions. Roles & Responsibilities: Advanced SQL expertise Microsoft SQL Server stack: SSIS, SSRS, SSMS, SSDT Microsoft Dynamics CRM Core ba...
Posted 1 month ago
5.0 - 7.0 years
8 - 12 Lacs
Mumbai, Delhi / NCR, Bengaluru
Work from Office
Job Title: Software Engineer Location: Pan India (Remote),Delhi NCR, Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai,Hyderabad Working Time zone: Standard IST working time zone About the role: We are looking for a Software Engineer with 5+ years of experience to support development and integration tasks within the banking and financial services domain. The role involves working on Microsoft SQL Server stack, .NET applications, and core banking systems like iMAL. You'll collaborate with cross-functional teams to deliver scalable and efficient financial solutions. Roles & Responsibilities: Advanced SQL expertise Microsoft SQL Server stack: SSIS, SSRS, SSMS, SSDT Microsoft Dynamics CRM Core ba...
Posted 3 months ago
3.0 - 7.0 years
10 - 18 Lacs
mumbai
Hybrid
Role & responsibilities Designing and Building Data Pipelines: Creating robust, scalable, and efficient ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) pipelines to move data from various sources into data warehouses, data lakes, or other storage systems. Ingest data which is structured, unstructured. Data Storage and Management: Selecting and managing appropriate data storage solutions (e.g., relational databases, S3, ADLS, data warehouses like SQL, Databricks. Data Architecture: Understand target data models, schemas, and database structures that support business requirements and data analysis needs. Data Integration: Connecting disparate data sources, ensuring data consis...
Posted Date not available
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