Senior Data Integration Specialist
5 days ago
Salary: ₹ 1,500,000 - ₹ 3,000,000 per annum
Location: Remote/Bangalore
About the RoleWe are seeking an experienced Senior Data Integration Specialist to join our team at Delphic (South Asia). The ideal candidate will have a strong background in data integration and ETL development, with a focus on Azure cloud technologies.
Main Responsibilities- Design and Develop ETL Processes: Utilize Azure Data Factory, Azure Synapse Analytics, and other Azure services to create efficient and scalable ETL pipelines for moving data from multiple sources to target data repositories.
- Data Integration: Collaborate with business analysts and data engineers to integrate data from various insurance applications, third-party providers, and legacy systems into Azure cloud-based solutions.
- Cloud Solutions: Leverage Azure cloud technologies (Data Lake, Blob Storage, SQL Database, Data Warehouse, etc.) to ensure seamless integration, scalability, and performance optimization of data solutions.
- Performance Tuning: Optimize ETL processes and data workflows for efficiency, ensuring high performance, reliability, and scalability of data pipelines in the Azure cloud.
- Collaboration: Work closely with insurance business stakeholders to understand data requirements and transform business needs into technical specifications.
- Data Quality: Ensure data consistency, integrity, and accuracy by performing data validation, error handling, and data reconciliation tasks across various systems and sources.
- Documentation & Reporting: Maintain detailed documentation for ETL workflows, integration procedures, and best practices. Provide status updates and issue resolution reports to stakeholders.
- Support & Maintenance: Provide ongoing support for production ETL processes, monitor data pipelines, and troubleshoot any issues that arise. Perform regular updates and enhancements to meet changing business needs.
- Compliance & Security: Ensure adherence to insurance industry standards, compliance regulations (e.g., GDPR, HIPAA), and security best practices for data processing and storage in the cloud.
- Experience: Minimum of 5 years of hands-on experience in ETL development, with a strong focus on Azure cloud technologies.
- Azure Expertise: Proficiency with Azure Data Factory, Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, and other Azure cloud services.
- Insurance Domain Knowledge: Strong understanding of insurance industry data, business processes, and regulatory requirements (e.g., policy data, claims, underwriting).
- ETL Tools & Technologies: Experience with ETL tools and techniques (Azure Data Factory, SQL Server Integration Services - SSIS, or other ETL platforms).
- Programming Languages: Strong SQL skills for querying and manipulating data. Experience with Python, PowerShell, or other scripting languages for automation and data manipulation is a plus.
- Data Modeling: Experience in data modeling concepts, data warehousing, and designing data pipelines for structured and unstructured data.
- Problem-Solving: Strong analytical and troubleshooting skills to identify and resolve issues in ETL workflows and data processing.
- Collaboration: Ability to work effectively in a cross-functional team environment, collaborating with business users, data engineers, and analysts.
- Agile Methodology: Familiarity with Agile methodologies and tools such as Jira or Azure DevOps.
- Cloud Certification: Microsoft Azure certifications (e.g., Azure Data Engineer Associate) are a plus.
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